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authorDante Niewenhuis <d.niewenhuis@hotmail.com>2025-05-19 13:31:34 +0200
committerGitHub <noreply@github.com>2025-05-19 13:31:34 +0200
commite9a1b6078e366a8ee071f5d423a1874608618e4d (patch)
treeef539af46703cd25fb66775b4580c3460c72be91 /site
parentd70312f122d9ef7c31b05757239ffc66af832dee (diff)
Removing gh-pages site from master branch (#338)
* Removing site from master branch * Updated README.md
Diffstat (limited to 'site')
-rw-r--r--site/.gitignore20
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-rw-r--r--site/docs/documentation/M3SA/M3SA.md92
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diff --git a/site/.gitignore b/site/.gitignore
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@@ -1,20 +0,0 @@
-# Dependencies
-/node_modules
-
-# Production
-/build
-
-# Generated files
-.docusaurus
-.cache-loader
-
-# Misc
-.DS_Store
-.env.local
-.env.development.local
-.env.test.local
-.env.production.local
-
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
diff --git a/site/.prettierrc.yaml b/site/.prettierrc.yaml
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-trailingComma: "es5"
-tabWidth: 4
-semi: false
-singleQuote: true
-printWidth: 120
diff --git a/site/README.md b/site/README.md
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-# OpenDC docs site
-
-This directory contains the sources for the [OpenDC website](https://opendc.org). The website is built
-using [Docusaurus 2](https://docusaurus.io/), a modern static website generator.
-
-### Installation
-
-```
-$ npm i
-```
-
-### Local Development
-
-```
-$ npm run start
-```
-
-This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.
-
-### Build
-
-```
-$ npm run build
-```
-
-This command generates static content into the `build` directory and can be served using any static contents hosting service.
-
-### Deployment
-
-The site is automatically deployed using GitHub Actions.
diff --git a/site/babel.config.js b/site/babel.config.js
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-module.exports = {
- presets: [require.resolve('@docusaurus/core/lib/babel/preset')],
-};
diff --git a/site/community/0-support.mdx b/site/community/0-support.mdx
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-# Support
-
-Need help? You can find out ways to talk to maintainers and community members below.
-
-<div className="container">
- <div className="row">
- <div className="col col--4">
- <h2>Browse the docs</h2>
- <p>Find what you're looking for in our documentation and guides.</p>
- <ul>
- <li>Learn how to <a href="/docs/category/getting-started">get started</a> with OpenDC.</li>
- <li>Follow the provided <a href="/docs/category/tutorials">tutorials</a>.</li>
- </ul>
- </div>
- <div className="col col--4">
- <h2>Join the community</h2>
- <p>Ask questions and find answers from other OpenDC users.</p>
- <ul>
- <li>Report bugs and feature requests via <a href="https://github.com/atlarge-research/opendc/issues">GitHub Issues</a></li>
- <li>Open a discussion on our <a href="https://github.com/atlarge-research/opendc/discussions">GitHub Discussions</a> page</li>
- </ul>
- </div>
- <div className="col col--4">
- <h2>Stay up to date</h2>
- <p>Find out what's new in OpenDC.</p>
- <ul>
- <li>Track the project on <a href="https://github.com/atlarge-research/opendc">GitHub</a>.</li>
- <li>Follow AtLarge Research on <a href="https://twitter.com/LargeResearch">Twitter</a>.</li>
- </ul>
- </div>
- </div>
-</div>
-
-## Need to contact the maintainers?
-
-Opening an issue or discussion on GitHub is always preferred so other community members can also contribute to and
-benefit from the answers. However, if you need (private) contact with the maintainers, you may contact us
-at 📧[opendc@atlarge-research.com](mailto:opendc@atlarge-research.com).
diff --git a/site/community/1-team.mdx b/site/community/1-team.mdx
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--- a/site/community/1-team.mdx
+++ /dev/null
@@ -1,13 +0,0 @@
-import TeamMembers from '@site/src/components/TeamMembers';
-
-# Team
-
-The OpenDC project is currently developed and maintained by the [AtLarge Research Group](https://www.atlarge-research.com/)
-from Amsterdam, the Netherlands. The team that works (or has worked) on OpenDC consists of:
-
-<TeamMembers />
-
-## Want to join our team?
-
-If you are interested in joining the OpenDC team, sent us a message at [opendc@atlarge-research.com](mailto:opendc@atlarge-research.com)
-or visit the [AtLarge Research website](https://www.atlarge-research.com/new_students.html) for more information.
diff --git a/site/community/2-contributing.md b/site/community/2-contributing.md
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index 36cd5cb5..00000000
--- a/site/community/2-contributing.md
+++ /dev/null
@@ -1,36 +0,0 @@
----
-title: Contributing
-hide_title: true
-sidebar_label: Contributing
----
-
-# Contributing to OpenDC
-
-First of all, thank you for wanting to contribute to OpenDC!
-You can contribute in various meaningful ways:
-
-* Report a bug through [GitHub issues](https://github.com/fabianishere/atlarge-research/issues).
-* Propose new functionality for using this project.
-* Contribute improvements to the code and documentation.
-* Provide feedback about how we can improve the project.
-* Help answer questions on our [Discussions](https://github.com/atlarge-research/discussions) page.
-
-## Want to report a bug or suggest a feature?
-
-Please file an issue! First, have a look if someone has already filed an issue addressing your concern. If there already
-is such an issue, feel free to comment on the issue to show your support for it, or to add additional information that
-might be helpful. You can also just react with a thumbs-up 👍 to the issue, to indicate that you'd be interested in its
-resolution. This can help us prioritize what we spend our development time on.
-
-If you can't find an issue that fits your problem or feature request, open a new one. Describe actual and expected
-behavior, and be as detailed as you can. We'll get back to you asap!
-
-## Want to contribute code?
-
-That's great! If you want to contribute to this
-repository, [fork it](https://github.com/atlarge-research/opendc/new/master) and submit a pull request here when you're
-ready! Be sure to describe *what* you changed and *why* you changed it, to help us understand what your contribution is
-about.
-
-A quick note on commit messages: Please follow common Git standards when writing commit messages,
-see [this post](https://cbea.ms/git-commit/) for details.
diff --git a/site/community/3-research.md b/site/community/3-research.md
deleted file mode 100644
index dc3a9858..00000000
--- a/site/community/3-research.md
+++ /dev/null
@@ -1,64 +0,0 @@
----
-title: Research
-hide_title: true
-sidebar_label: Research
----
-
-# Research with OpenDC
-
-On this page we list publications related to OpenDC or publications that have used OpenDC in their work.
-
-## Interested in working with us?
-
-If you are a new student and are interested in doing a project (e.g., bachelor thesis, master thesis) on OpenDC with us,
-please visit [AtLarge Research website](https://www.atlarge-research.com/new_students.html) for more information.
-For a sneak peek of the kind of work we do, have a look at the material listed below.
-
-
-## Publications about OpenDC
-
-1. [OpenDC 2.0: Convenient Modeling and Simulation of Emerging Technologies in Cloud Datacenters](https://atlarge-research.com/pdfs/ccgrid21-opendc-paper.pdf)
- **CCGrid 2021**
- Fabian Mastenbroek, Georgios Andreadis, Soufiane Jounaid, Wenchen Lai, Jacob Burley, Jaro Bosch, Erwin van Eyk,
- Laurens Versluis, Vincent van Beek, Alexandru Iosup
-2. [The OpenDC vision: Towards collaborative datacenter simulation and exploration for everybody](https://atlarge-research.com/pdfs/opendc-vision17ispdc_cr.pdf)
- **ISPDC 2017 (invited paper)**
- Alexandru Iosup, Georgios Andreadis, Vincent van Beek, Matthijs Bijman, Erwin van Eyk, Mihai Neacsu, Leon Overweel,
- Sacheendra Talluri, Laurens Versluis, Maaike Visser.
-
-## Publications using OpenDC
-
-1. [Capelin: Data-Driven Compute Capacity Procurement for Cloud Datacenters Using Portfolios of Scenarios](https://www.computer.org/csdl/journal/td/2022/01/09444213/1tYo2a8BeWA)
- **IEEE Transactions on Parallel and Distributed Systems (TPDS), Jan. 2022**
- Georgios Andreadis, Fabian Mastenbroek, Vincent van Beek, Alexandru Iosup
-2. [A Reference Architecture for Datacenter Scheduling](https://arxiv.org/pdf/1808.04224)
- **International Conference for High Performance Computing, Networking, Storage and Analysis 2018 (SC18)**
- Georgios Andreadis, Laurens Versluis, Fabian Mastenbroek, Alexandru Iosup
-
-## Students using OpenDC
-There have been also multiple students projects that have used OpenDC:
-
-1. [Radice: Data-driven Risk Analysis of Sustainable Cloud Infrastructure using Simulation](https://repository.tudelft.nl/islandora/object/uuid:00afeb36-724d-4edf-adc7-67ce991c7d12)
- **Master Thesis, 2022**
- Fabian Mastenbroek
-2. [How Can Datacenters Join the Smart Grid to Address the Climate Crisis?](https://arxiv.org/abs/2108.01776)
- **Bachelor Thesis, 2021**
- Hongyu He
-3. [Capelin: Fast Data-Driven Capacity Planning for Cloud Datacenters](https://repository.tudelft.nl/islandora/object/uuid:d6d50861-86a3-4dd3-a13f-42d84db7af66?collection=education)
- **Master Thesis, 2020**
- Georgios Andreadis
-4. [Modeling and Simulation of the Google TensorFlow Ecosystem](https://atlarge-research.com/pdfs/lai2020thesis.pdf)
- **Master Thesis, 2020**
- Wenchen Lai
-5. [OpenDC Serverless: Design, Implementation and Evaluation of a FaaS Platform Simulator](https://zenodo.org/record/4046675)
- **Bachelor Thesis, 2020**
- Soufiane Jounaid
-6. [LEGO, but with Servers: Creating the Building Blocks to Design and Simulate Datacenters](https://atlarge-research.com/pdfs/BSc-Thesis-JACOB_BURLEY_FINAL.pdf)
- **Bachelor Thesis, 2020**
- Jacob Burley
-7. [A Trace-Based Validation Study of OpenDC](https://atlarge-research.com/pdfs/2020-12-02_bsc_thesis_jaro_final.pdf)
- **Bachelor Thesis, 2020**
- Jaro Bosch
-8. [A Systematic Design Space Exploration of Datacenter Schedulers](https://repository.tudelft.nl/islandora/object/uuid%3A20478016-cc7d-4c87-aa12-25b46f511277?collection=education)
- **Bachelor Thesis, 2019**
- Fabian Mastenbroek
diff --git a/site/docs/documentation/Input/AllocationPolicy.md b/site/docs/documentation/Input/AllocationPolicy.md
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-Allocation policies define how, when and where a task is executed.
-
-There are two types of allocation policies:
-1. **[Filter](#filter-policy)** - The basic allocation policy that selects a host for each task based on filters and weighters
-2. **[TimeShift](#timeshift-policy)** - Extends the Filter scheduler allowing tasks to be delayed to better align with the availability of low-carbon power.
-
-In the following section we discuss the different allocation policies, and how to define them in an Experiment file.
-
-## Filter policy
-To use a filter scheduler, the user has to set the type of the policy to "filter".
-A filter policy requires a list of filters and weighters which characterize the policy.
-
-A filter policy consists of two main components:
-1. **[Filters](#filters)** - Filters select all hosts that are eligible to execute the given task.
-2. **[Weighters](#weighters)** - Weighters are used to rank the eligible hosts. The host with the highest weight is selected to execute the task.
-
-:::info Code
-All code related to reading Allocation policies can be found [here](https://github.com/atlarge-research/opendc/blob/master/opendc-experiments/opendc-experiments-base/src/main/kotlin/org/opendc/experiments/base/experiment/specs/allocation/AllocationPolicySpec.kt)
-:::
-
-### Filters
-Filters select all hosts that are eligible to execute the given task.
-Filters are defined as JSON objects in the experiment file.
-
-The user defines which filter to use by setting the "type".
-OpenDC currently supports the following 7 filters:
-
-#### ComputeFilter
-Returns host if it is running.
-Does not require any more parameters.
-
-```json
-{
- "type": "Compute"
-}
-```
-
-#### SameHostHostFilter
-Ensures that after failure, a task is executed on the same host again.
-Does not require any more parameters.
-
-```json
-{
- "type": "DifferentHost"
-}
-```
-
-#### DifferentHostFilter
-Ensures that after failure, a task is *not* executed on the same host again.
-Does not require any more parameters.
-
-```json
-{
- "type": "DifferentHost"
-}
-```
-
-#### InstanceCountHostFilter
-Returns host if the number of instances running on the host is less than the maximum number of instances allowed.
-The User needs to provide the maximum number of instances that can be run on a host.
-```json
-{
- "type": "InstanceCount",
- "limit": 1
-}
-```
-
-#### RamHostFilter
-Returns hosts if the amount of RAM available on the host is greater than the amount of RAM required by the task.
-The user can provide an allocationRatio which is multiplied with the amount of RAM available on the host.
-This can be used to allow for over subscription.
-```json
-{
- "type": "Ram",
- "allocationRatio": 2.5
-}
-```
-
-#### VCpuCapacityHostFilter
-Returns hosts if CPU capacity available on the host is greater than the CPU capacity required by the task.
-
-```json
-{
- "type": "VCpuCapacity"
-}
-```
-
-#### VCpuHostFilter
-Returns host if the number of cores available on the host is greater than the number of cores required by the task.
-The user can provide an allocationRatio which is multiplied with the amount of RAM available on the host.
-This can be used to allow for over subscription.
-
-```json
-{
- "type": "VCpu",
- "allocationRatio": 2.5
-}
-```
-
-:::info Code
-All code related to reading Filters can be found [here](https://github.com/atlarge-research/opendc/blob/master/opendc-experiments/opendc-experiments-base/src/main/kotlin/org/opendc/experiments/base/experiment/specs/allocation/HostFilterSpec.kt)
-:::
-
-### Weighters
-Weighters are used to rank the eligible hosts. The host with the highest weight is selected to execute the task.
-Weighters are defined as JSON objects in the experiment file.
-
-The user defines which filter to use by setting the "type".
-The user can also provide a multiplying that is multiplied with the weight of the host.
-This can be used to increase or decrease the importance of the host.
-Negative multipliers are also allowed, and can be used to invert the ranking of the host.
-OpenDC currently supports the following 5 weighters:
-
-#### RamWeigherSpec
-Order the hosts by the amount of RAM available on the host.
-
-```json
-{
- "type": "Ram",
- "multiplier": 2.0
-}
-```
-
-#### CoreRamWeighter
-Order the hosts by the amount of RAM available per core on the host.
-
-```json
-{
- "type": "CoreRam",
- "multiplier": 0.5
-}
-```
-
-#### InstanceCountWeigherSpec
-Order the hosts by the number of instances running on the host.
-
-```json
-{
- "type": "InstanceCount",
- "multiplier": -1.0
-}
-```
-
-#### VCpuCapacityWeigherSpec
-Order the hosts by the capacity per core on the host.
-
-```json
-{
- "type": "VCpuCapacity",
- "multiplier": 0.5
-}
-```
-
-#### VCpuWeigherSpec
-Order the hosts by the number of cores available on the host.
-
-```json
-{
- "type": "VCpu",
- "multiplier": 2.5
-}
-```
-
-:::info Code
-All code related to reading Weighters can be found [here](https://github.com/atlarge-research/opendc/blob/master/opendc-experiments/opendc-experiments-base/src/main/kotlin/org/opendc/experiments/base/experiment/specs/allocation/HostWeigherSpec.kt)
-:::
-
-### Examples
-Following is an example of a Filter policy:
-```json
-{
- "type": "filter",
- "filters": [
- {
- "type": "Compute"
- },
- {
- "type": "VCpu",
- "allocationRatio": 1.0
- },
- {
- "type": "Ram",
- "allocationRatio": 1.5
- }
- ],
- "weighers": [
- {
- "type": "Ram",
- "multiplier": 1.0
- }
- ]
-}
-```
-
-## TimeShift policy
-Timeshift extends the Filter policy by allowing tasks to be delayed to better align with the availability of low-carbon power.
-A user can define a timeshift policy by setting the type to "timeshift".
-
-task is scheduled when the current carbon intensity is below the carbon threshold. Otherwise, they are delayed. The
-carbon threshold is determined by taking the 35 percentile of next week’s carbon forecast. When used, tasks can be interrupted
-when the carbon intensity exceeds the threshold during execution. All tasks have a maximum delay time defined in the workload. When the maximum delay is reached,
-tasks cannot be delayed anymore.
-
-
-Similar to the filter policy, the user can define a list of filters and weighters.
-However, in addittion, the user can provide parameters that influence how tasks are delayed:
-
-| Variable | Type | Required? | Default | Description |
-|------------------------|-----------------------------|-----------|-----------------|-----------------------------------------------------------------------------------|
-| filters | List[Filter] | no | [ComputeFilter] | Filters used to select eligible hosts. |
-| weighters | List[Weighter] | no | [] | Weighters used to rank hosts. |
-| windowSize | integer | no | 168 | How far back does the scheduler look to determine the Carbon Intensity threshold? |
-| forecast | boolean | no | true | Does the the policy use carbon forecasts? |
-| shortForecastThreshold | double | no | 0.2 | Threshold is used for short tasks (<2hours) |
-| longForecastThreshold | double | no | 0.35 | Threshold is used for long tasks (>2hours) |
-| forecastSize | integer | no | 24 | The number of hours of forecasts that is taken into account |
-| taskStopper | [TaskStopper](#taskstopper) | no | null | Policy for interrupting tasks. If not provided, tasks are never interrupted |
-
-### TaskStopper
-
-Aside from delaying tasks, users might want to interrupt tasks that are running.
-For example, if a tasks is running when only high-carbon energy is available, the task can be interrupted and rescheduled to a later time.
-
-A TaskStopper is defined as a JSON object in the Timeshift policy.
-A TasksStopper consists of the following components:
-
-| Variable | Type | Required? | Default | Description |
-|-----------------------|-----------------------------|-----------|---------|-----------------------------------------------------------------------------------|
-| windowSize | integer | no | 168 | How far back does the scheduler look to determine the Carbon Intensity threshold? |
-| forecast | boolean | no | true | Does the the policy use carbon forecasts? |
-| forecastThreshold | double | no | 0.6 | Threshold is used for short tasks (<2hours) |
-| forecastSize | integer | no | 24 | The number of hours of forecasts that is taken into account |
-
-
-## Prefabs
-Aside from custom policies, OpenDC also provides a set of pre-defined policies that can be used.
-A prefab can be defined by setting the type to "prefab" and providing the name of the prefab.
-
-Example:
-```json
-{
- "type": "prefab",
- "policyName": "Mem"
-}
-```
-
-The following prefabs are available:
-
-| Name | Filters | Weighters | Timeshifting |
-|---------------------|----------------------------------------------|----------------------------|--------------|
-| Mem | ComputeFilter <br/>VCpuFilter<br/> RamFilter | RamWeigher(1.0) | No |
-| MemInv | ComputeFilter <br/>VCpuFilter<br/> RamFilter | RamWeigher(-1.0) | No |
-| CoreMem | ComputeFilter <br/>VCpuFilter<br/> RamFilter | CoreRamWeigher(1.0) | No |
-| CoreMemInv | ComputeFilter <br/>VCpuFilter<br/> RamFilter | CoreRamWeigher(-1.0) | No |
-| ActiveServers | ComputeFilter <br/>VCpuFilter<br/> RamFilter | InstanceCountWeigher(1.0) | No |
-| ActiveServersInv | ComputeFilter <br/>VCpuFilter<br/> RamFilter | InstanceCountWeigher(-1.0) | No |
-| ProvisionedCores | ComputeFilter <br/>VCpuFilter<br/> RamFilter | VCpuWeigher(1.0) | No |
-| ProvisionedCoresInv | ComputeFilter <br/>VCpuFilter<br/> RamFilter | VCpuWeigher(-1.0) | No |
-| Random | ComputeFilter <br/>VCpuFilter<br/> RamFilter | [] | No |
-| TimeShift | ComputeFilter <br/>VCpuFilter<br/> RamFilter | RamWeigher(1.0) | Yes |
-
-:::info Code
-All code related to prefab schedulers can be found [here](https://github.com/atlarge-research/opendc/blob/master/opendc-compute/opendc-compute-simulator/src/main/kotlin/org/opendc/compute/simulator/scheduler/ComputeSchedulers.kt)
-:::
-
diff --git a/site/docs/documentation/Input/CheckpointModel.md b/site/docs/documentation/Input/CheckpointModel.md
deleted file mode 100644
index 7c622ea0..00000000
--- a/site/docs/documentation/Input/CheckpointModel.md
+++ /dev/null
@@ -1,25 +0,0 @@
-Checkpointing is a technique to reduce the impact of machine failure.
-When using Checkpointing, tasks make periodical snapshots of their state.
-If a task fails, it can be restarted from the last snapshot instead of starting from the beginning.
-
-A user can define a checkpoint model using the following parameters:
-
-| Variable | Type | Required? | Default | Description |
-|---------------------------|--------|-----------|---------|----------------------------------------------------------------------------------------------------------------------|
-| checkpointInterval | Int64 | no | 3600000 | The time between checkpoints in ms |
-| checkpointDuration | Int64 | no | 300000 | The time to create a snapshot in ms |
-| checkpointIntervalScaling | Double | no | 1.0 | The scaling of the checkpointInterval after each successful checkpoint. The default of 1.0 means no scaling happens. |
-
-### Example
-
-```json
-{
- "checkpointInterval": 3600000,
- "checkpointDuration": 300000,
- "checkpointIntervalScaling": 1.5
-}
-```
-
-In this example, a snapshot is created every hour, and the snapshot creation takes 5 minutes.
-The checkpointIntervalScaling is set to 1.5, which means that after each successful checkpoint,
-the interval between checkpoints will be increased by 50% (for example from 1 to 1.5 hours).
diff --git a/site/docs/documentation/Input/Experiment.md b/site/docs/documentation/Input/Experiment.md
deleted file mode 100644
index 8d3462a9..00000000
--- a/site/docs/documentation/Input/Experiment.md
+++ /dev/null
@@ -1,107 +0,0 @@
-When using OpenDC, an experiment defines what should be run, and how. An experiment consists of one or more scenarios,
-each defining a different simulation to run. Scenarios can differ in many things, such as the topology that is used,
-the workload that is run, or the policies that are used to name a few. An experiment is defined using a JSON file.
-In this page, we will discuss how to properly define experiments for OpenDC.
-
-:::info Code
-All code related to reading and processing Experiment files can be found [here](https://github.com/atlarge-research/opendc/tree/master/opendc-experiments/opendc-experiments-base/src/main/kotlin/org/opendc/experiments/base/experiment)
-The code used to run experiments can be found [here](https://github.com/atlarge-research/opendc/tree/master/opendc-experiments/opendc-experiments-base/src/main/kotlin/org/opendc/experiments/base/runner)
-:::
-
-## Schema
-
-In the following section, we describe the different components of an experiment. Following is a table with all experiment components:
-
-| Variable | Type | Required? | Default | Description |
-|--------------------|----------------------------------------------------------------------|-----------|---------------|-------------------------------------------------------------------------------------------------------|
-| name | string | no | "" | Name of the scenario, used for identification and referencing. |
-| outputFolder | string | no | "output" | Directory where the simulation outputs will be stored. |
-| runs | integer | no | 1 | Number of times the same scenario should be run. Each scenario is run with a different seed. |
-| initialSeed | integer | no | 0 | The seed used for random number generation during a scenario. Setting a seed ensures reproducability. |
-| topologies | List[path/to/file] | yes | N/A | Paths to the JSON files defining the topologies. |
-| workloads | List[[Workload](/docs/documentation/Input/Workload)] | yes | N/A | Paths to the files defining the workloads executed. |
-| allocationPolicies | List[[AllocationPolicy](/docs/documentation/Input/AllocationPolicy)] | yes | N/A | Allocation policies used for resource management in the scenario. |
-| failureModels | List[[FailureModel](/docs/documentation/Input/FailureModel)] | no | List[null] | List of failure models to simulate various types of failures. |
-| maxNumFailures | List[integer] | no | [10] | The max number of times a task can fail before being terminated. |
-| checkpointModels | List[[CheckpointModel](/docs/documentation/Input/CheckpointModel)] | no | List[null] | Paths to carbon footprint trace files. |
-| exportModels | List[[ExportModel](/docs/documentation/Input/ExportModel)] | no | List[default] | Specifications for exporting data from the simulation. |
-
-Most components of an experiment are not single values, but lists of values.
-This allows users to run multiple scenarios using a single experiment file.
-OpenDC will generate and execute all permutations of the different values.
-
-Some of the components in an experiment file are paths to files, or complicated objects. The format of these components
-are defined in their respective pages.
-
-## Examples
-In the following section, we discuss several examples of experiment files.
-
-### Simple
-
-The simplest experiment that can be provided to OpenDC is shown below:
-```json
-{
- "topologies": [
- {
- "pathToFile": "topologies/topology1.json"
- }
- ],
- "workloads": [
- {
- "type": "ComputeWorkload",
- "pathToFile": "traces/bitbrains-small"
- }
- ],
- "allocationPolicies": [
- {
- "type": "prefab",
- "policyName": "Mem"
- }
- ]
-}
-```
-
-This experiment creates a simulation from file topology1, located in the topologies folder, with a workload trace from the
-bitbrains-small file, and an allocation policy of type Mem. The simulation is run once (by default), and the default
-name is "".
-
-### Complex
-Following is an example of a more complex experiment:
-```json
-{
- "topologies": [
- {
- "pathToFile": "topologies/topology1.json"
- },
- {
- "pathToFile": "topologies/topology2.json"
- },
- {
- "pathToFile": "topologies/topology3.json"
- }
- ],
- "workloads": [
- {
- "pathToFile": "traces/bitbrains-small",
- "type": "ComputeWorkload"
- },
- {
- "pathToFile": "traces/bitbrains-large",
- "type": "ComputeWorkload"
- }
- ],
- "allocationPolicies": [
- {
- "type": "prefab",
- "policyName": "Mem"
- },
- {
- "type": "prefab",
- "policyName": "Mem-Inv"
- }
- ]
-}
-```
-
-This scenario runs a total of 12 experiments. We have 3 topologies (3 datacenter configurations), each simulated with
-2 distinct workloads, each using a different allocation policy (either Mem or Mem-Inv).
diff --git a/site/docs/documentation/Input/ExportModel.md b/site/docs/documentation/Input/ExportModel.md
deleted file mode 100644
index 12e7eba2..00000000
--- a/site/docs/documentation/Input/ExportModel.md
+++ /dev/null
@@ -1,50 +0,0 @@
-During simulation, OpenDC exports data to files (see [Output](/docs/documentation/Output.md)).
-The user can define what and how data is exported using the `exportModels` parameter in the experiment file.
-
-## ExportModel
-
-
-
-| Variable | Type | Required? | Default | Description |
-|---------------------|-----------------------------------------|-----------|-----------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| exportInterval | Int64 | no | 300 | The duration between two exports in seconds |
-| filesToExport | Int64 | no | 24 | How often OpenDC prints an update during simulation. | |
-| computeExportConfig | [ComputeExportConfig](#checkpointmodel) | no | Default | The features that should be exported during the simulation |
-| filesToExport | List[string] | no | all files | List of the files that should be exported during simulation. The elements should be picked from the set ("host", "task", "powerSource", "battery", "service") |
-
-
-
-### ComputeExportConfig
-The ComputeExportConfig defines which features should be exported during the simulation.
-Several features will always be exported, regardless of the configuration.
-When not provided, all features are exported.
-
-
-| Variable | Type | Required? | Base | Default | Description |
-|--------------------------|--------------|-----------|------------------------------------------------------------------------|--------------|-----------------------------------------------------------------------|
-| hostExportColumns | List[String] | no | name <br/> cluster_name <br/> timestamp <br/> timestamp_absolute <br/> | All features | The features that should be exported to the host output file. |
-| taskExportColumns | List[String] | no | task_id <br/> task_name <br/> timestamp <br/> timestamp_absolute <br/> | All features | The features that should be exported to the task output file. |
-| powerSourceExportColumns | List[String] | no | name <br/> cluster_name <br/> timestamp <br/> timestamp_absolute <br/> | All features | The features that should be exported to the power source output file. |
-| batteryExportColumns | List[String] | no | name <br/> cluster_name <br/> timestamp <br/> timestamp_absolute <br/> | All features | The features that should be exported to the battery output file. |
-| serviceExportColumns | List[String] | no | timestamp <br/> timestamp_absolute <br/> | All features | The features that should be exported to the service output file. |
-
-### Example
-
-```json
-{
- "exportInterval": 3600,
- "printFrequency": 168,
- "filesToExport": ["host", "task", "service"],
- "computeExportConfig": {
- "hostExportColumns": ["power_draw", "energy_usage", "cpu_usage", "cpu_utilization"],
- "taskExportColumns": ["submission_time", "schedule_time", "finish_time", "task_state"],
- "serviceExportColumns": ["tasks_total", "tasks_pending", "tasks_active", "tasks_completed", "tasks_terminated", "hosts_up"]
- }
-}
-```
-In this example:
-- the simulation will export data every hour (3600 seconds).
-- The simulation will print an update every 168 seconds.
-- Only the host, task and service files will be exported.
-- Only a selection of features are exported for each file.
-
diff --git a/site/docs/documentation/Input/FailureModel.md b/site/docs/documentation/Input/FailureModel.md
deleted file mode 100644
index 714d2157..00000000
--- a/site/docs/documentation/Input/FailureModel.md
+++ /dev/null
@@ -1,224 +0,0 @@
-### FailureModel
-The failure model that should be used during the simulation
-See [FailureModels](FailureModel.md) for detailed instructions.
-
-
-
-OpenDC provides three types of failure models: [Trace-based](#trace-based-failure-models), [Sample-based](#sample-based-failure-models),
-and [Prefab](#prefab-failure-models).
-
-All failure models have a similar structure containing three simple steps.
-
-1. The _interval_ time determines the time between two failures.
-2. The _duration_ time determines how long a single failure takes.
-3. The _intensity_ determines how many hosts are effected by a failure.
-
-:::info Code
-The code that defines the Failure Models can found [here](https://github.com/atlarge-research/opendc/blob/master/opendc-experiments/opendc-experiments-base/src/main/kotlin/org/opendc/experiments/base/experiment/specs/FailureModelSpec.kt).
-:::
-
-## Trace based failure models
-Trace-based failure models are defined by a parquet file. This file defines the interval, duration, and intensity of
-several failures. The failures defined in the file are looped. A valid failure model file follows the format defined below:
-
-| Metric | Datatype | Unit | Summary |
-|-------------------|------------|---------------|--------------------------------------------|
-| failure_interval | int64 | milli seconds | The duration since the last failure |
-| failure_duration | int64 | milli seconds | The duration of the failure |
-| failure_intensity | float64 | ratio | The ratio of hosts effected by the failure |
-
-:::info Code
-The code implementation of Trace Based Failure Models can be found [here](https://github.com/atlarge-research/opendc/blob/master/opendc-compute/opendc-compute-failure/src/main/kotlin/org/opendc/compute/failure/models/TraceBasedFailureModel.kt)
-:::
-
-### Example
-A trace-based failure model is specified by setting "type" to "trace-based".
-After, the user can define the path to the failure trace using "pathToFile":
-```json
-{
- "type": "trace-based",
- "pathToFile": "path/to/your/failure_trace.parquet"
-}
-```
-
-The "repeat" value can be set to false if the user does not want the failures to loop:
-```json
-{
- "type": "trace-based",
- "pathToFile": "path/to/your/failure_trace.parquet",
- "repeat": "false"
-}
-```
-
-## Sample based failure models
-Sample based failure models sample from three distributions to get the _interval_, _duration_, and _intensity_ of
-each failure. Sample-based failure models are effected by randomness and will thus create different results based
-on the provided seed.
-
-:::info Code
-The code implementation for the Sample based failure models can be found [here](https://github.com/atlarge-research/opendc/blob/master/opendc-compute/opendc-compute-failure/src/main/kotlin/org/opendc/compute/failure/models/SampleBasedFailureModel.kt)
-:::
-
-### Distributions
-OpenDC supports eight different distributions based on java's [RealDistributions](https://commons.apache.org/proper/commons-math/javadocs/api-3.6.1/org/apache/commons/math3/distribution/RealDistribution.html).
-Because the different distributions require different variables, they have to be specified with a specific "type".
-Next, we show an example of a correct specification of all available distributions in OpenDC.
-
-#### [ConstantRealDistribution](https://commons.apache.org/proper/commons-math/javadocs/api-3.6.1/org/apache/commons/math3/distribution/ConstantRealDistribution.html)
-
-```json
-{
- "type": "constant",
- "value": 10.0
-}
-```
-
-#### [ExponentialDistribution](https://commons.apache.org/proper/commons-math/javadocs/api-3.6.1/org/apache/commons/math3/distribution/ExponentialDistribution.html)
-```json
-{
- "type": "exponential",
- "mean": 1.5
-}
-```
-
-#### [GammaDistribution](https://commons.apache.org/proper/commons-math/javadocs/api-3.6.1/org/apache/commons/math3/distribution/GammaDistribution.html)
-```json
-{
- "type": "gamma",
- "shape": 1.0,
- "scale": 0.5
-}
-```
-
-#### [LogNormalDistribution](https://commons.apache.org/proper/commons-math/javadocs/api-3.6.1/org/apache/commons/math3/distribution/LogNormalDistribution.html)
-```json
-{
- "type": "log-normal",
- "scale": 1.0,
- "shape": 0.5
-}
-```
-
-#### [NormalDistribution](https://commons.apache.org/proper/commons-math/javadocs/api-3.6.1/org/apache/commons/math3/distribution/NormalDistribution.html)
-```json
-{
- "type": "normal",
- "mean": 1.0,
- "std": 0.5
-}
-```
-
-#### [ParetoDistribution](https://commons.apache.org/proper/commons-math/javadocs/api-3.6.1/org/apache/commons/math3/distribution/ParetoDistribution.html)
-```json
-{
- "type": "pareto",
- "scale": 1.0,
- "shape": 0.6
-}
-```
-
-#### [UniformRealDistribution](https://commons.apache.org/proper/commons-math/javadocs/api-3.6.1/org/apache/commons/math3/distribution/UniformRealDistribution.html)
-```json
-{
- "type": "constant",
- "lower": 5.0,
- "upper": 10.0
-}
-```
-
-#### [WeibullDistribution](https://commons.apache.org/proper/commons-math/javadocs/api-3.6.1/org/apache/commons/math3/distribution/WeibullDistribution.html)
-```json
-{
- "type": "constant",
- "alpha": 0.5,
- "beta": 1.2
-}
-```
-
-### Example
-A sample-based failure model is defined using three distributions for _intensity_, _duration_, and _intensity_.
-Distributions can be mixed however the user wants. Note, values for _intensity_ and _duration_ are clamped to be positive.
-The _intensity_ is clamped to the range [0.0, 1.0).
-To specify a sample-based failure model, the type needs to be set to "custom".
-
-Example:
-```json
-{
- "type": "custom",
- "iatSampler": {
- "type": "exponential",
- "mean": 1.5
- },
- "durationSampler": {
- "type": "constant",
- "alpha": 0.5,
- "beta": 1.2
- },
- "nohSampler": {
- "type": "constant",
- "value": 0.5
- }
-}
-```
-
-## Prefab failure models
-The final type of failure models is the prefab models. These are models that are predefined in OpenDC and are based on
-research. Currently, OpenDC has 9 prefab models based on [The Failure Trace Archive: Enabling the comparison of failure measurements and models of distributed systems](https://www-sciencedirect-com.vu-nl.idm.oclc.org/science/article/pii/S0743731513000634)
-The figure below shows the values used to define the failure models.
-![failureModels.png](../../../static/img/failureModels.png)
-
-Each failure model is defined four times, on for each of the four distribution.
-The final list of available prefabs is thus:
-
- G5k06Exp
- G5k06Wbl
- G5k06LogN
- G5k06Gam
- Lanl05Exp
- Lanl05Wbl
- Lanl05LogN
- Lanl05Gam
- Ldns04Exp
- Ldns04Wbl
- Ldns04LogN
- Ldns04Gam
- Microsoft99Exp
- Microsoft99Wbl
- Microsoft99LogN
- Microsoft99Gam
- Nd07cpuExp
- Nd07cpuWbl
- Nd07cpuLogN
- Nd07cpuGam
- Overnet03Exp
- Overnet03Wbl
- Overnet03LogN
- Overnet03Gam
- Pl05Exp
- Pl05Wbl
- Pl05LogN
- Pl05Gam
- Skype06Exp
- Skype06Wbl
- Skype06LogN
- Skype06Gam
- Websites02Exp
- Websites02Wbl
- Websites02LogN
- Websites02Gam
-
-:::info Code
-The different Prefab models can be found [here](https://github.com/atlarge-research/opendc/tree/master/opendc-compute/opendc-compute-failure/src/main/kotlin/org/opendc/compute/failure/prefab)
-:::
-
-### Example
-To specify a prefab model, the "type" needs to be set to "prefab".
-After, the prefab can be defined with "prefabName":
-
-```json
-{
- "type": "prefab",
- "prefabName": "G5k06Exp"
-}
-```
-
diff --git a/site/docs/documentation/Input/Topology/Battery.md b/site/docs/documentation/Input/Topology/Battery.md
deleted file mode 100644
index 70492694..00000000
--- a/site/docs/documentation/Input/Topology/Battery.md
+++ /dev/null
@@ -1,37 +0,0 @@
-Batteries can be used to store energy for later use.
-In previous work, we have used batteries to store energy from the grid when the carbon intensity is low,
-and use this energy when the carbon intensity is high.
-
-Batteries are defined using the following parameters:
-
-| variable | type | Unit | required? | default | description |
-|------------------|---------------------------|-------|-----------|---------|-----------------------------------------------------------------------------------|
-| name | string | N/A | no | Battery | The name of the battery. This is only important for debugging and post-processing |
-| capacity | Double | kWh | yes | N/A | The total amount of energy that the battery can hold. |
-| chargingSpeed | Double | W | yes | N/A | Charging speed of the battery. |
-| initialCharge | Double | kWh | no | 0.0 | The initial charge of the battery. If not given, the battery starts empty. |
-| batteryPolicy | [Policy](#battery-policy) | N/A | yes | N/A | The policy which decides when to charge and discharge. |
-| embodiedCarbon | Double | gram | no | 0.0 | The embodied carbon emitted while creating this battery. |
-| expectedLifetime | Double | Years | yes | 0.0 | The expected lifetime of the battery. |
-
-## Battery Policy
-To determine when to charge and discharge the battery, a policy is required.
-Currently, all policies for batteries are based on the carbon intensity of the grid.
-
-The best performing policy is called "runningMeanPlus" and is based on the running mean of the carbon intensity.
-it can be defined with the following JSON:
-
-```json
-{
- "type": "runningMeanPlus",
- "startingThreshold": 123.2,
- "windowSize": 168
-}
-```
-
-In which `startingThreshold` is the initial carbon threshold used.
-`windowSize` is the size of the window used to calculate the running mean.
-
-:::info Alert
-This page with be extended with more text and policies in the future.
-:::
diff --git a/site/docs/documentation/Input/Topology/Host.md b/site/docs/documentation/Input/Topology/Host.md
deleted file mode 100644
index 7b5b8394..00000000
--- a/site/docs/documentation/Input/Topology/Host.md
+++ /dev/null
@@ -1,55 +0,0 @@
-A host is a machine that can execute tasks. A host consist of the following components:
-
-| variable | type | required? | default | description |
-|-------------|:-------------------------------------------------------------|:----------|---------|--------------------------------------------------------------------------------|
-| name | string | no | Host | The name of the host. This is only important for debugging and post-processing |
-| count | integer | no | 1 | The amount of hosts of this type are in the cluster |
-| cpuModel | [CPU](#cpu) | yes | N/A | The CPUs in the host |
-| memory | [Memory](#memory) | yes | N/A | The memory used by the host |
-| power model | [Power Model](/docs/documentation/Input/Topology/PowerModel) | no | Default | The power model used to determine the power draw of the host |
-
-## CPU
-
-| variable | type | Unit | required? | default | description |
-|-----------|---------|-------|-----------|---------|--------------------------------------------------|
-| modelName | string | N/A | no | unknown | The name of the CPU. |
-| vendor | string | N/A | no | unknown | The vendor of the CPU |
-| arch | string | N/A | no | unknown | the micro-architecture of the CPU |
-| count | integer | N/A | no | 1 | The number of CPUs of this type used by the host |
-| coreCount | integer | count | yes | N/A | The number of cores in the CPU |
-| coreSpeed | Double | Mhz | yes | N/A | The speed of each core in Mhz |
-
-## Memory
-
-| variable | type | Unit | required? | default | description |
-|-------------|---------|------|-----------|---------|--------------------------------------------------------------------------|
-| modelName | string | N/A | no | unknown | The name of the CPU. |
-| vendor | string | N/A | no | unknown | The vendor of the CPU |
-| arch | string | N/A | no | unknown | the micro-architecture of the CPU |
-| memorySize | integer | Byte | yes | N/A | The number of cores in the CPU |
-| memorySpeed | Double | Mhz | no | -1 | The speed of each core in Mhz. PLACEHOLDER: this currently does nothing. |
-
-## Example
-
-```json
-{
- "name": "H01",
- "cpu": {
- "coreCount": 16,
- "coreSpeed": 2100
- },
- "memory": {
- "memorySize": 100000
- },
- "powerModel": {
- "modelType": "sqrt",
- "idlePower": 32.0,
- "maxPower": 180.0
- },
- "count": 100
-}
-```
-
-This example creates 100 hosts with 16 cores and 2.1 Ghz CPU speed, and 100 GB of memory.
-The power model used is a square root model with a power of 400 W, idle power of 32 W, and max power of 180 W.
-For more information on the power model, see [Power Model](/docs/documentation/Input/Topology/PowerModel).
diff --git a/site/docs/documentation/Input/Topology/PowerModel.md b/site/docs/documentation/Input/Topology/PowerModel.md
deleted file mode 100644
index 06f4a4da..00000000
--- a/site/docs/documentation/Input/Topology/PowerModel.md
+++ /dev/null
@@ -1,31 +0,0 @@
-OpenDC uses power models to determine the power draw based on the utilization of a host.
-All models in OpenDC are based on linear models interpolated between the idle and max power draw.
-OpenDC currently supports the following power models:
-1. **Constant**: The power draw is constant and does not depend on the utilization of the host.
-2. **Sqrt**: The power draw interpolates between idle and max using a square root function.
-3. **Linear**: The power draw interpolates between idle and max using a linear function.
-4. **Square**: The power draw interpolates between idle and max using a square function.
-5. **Cubic**The power draw interpolates between idle and max using a cubic function.
-
-The power model is defined using the following parameters:
-
-| variable | type | Unit | required? | default | description |
-|-----------|--------|------|-----------|---------|--------------------------------------------------------------------|
-| modelType | string | N/A | yes | N/A | The type of model used to determine power draw |
-| power | double | Mhz | no | 400 | The power draw of a host when using the constant power draw model. |
-| idlePower | double | Mhz | yes | N/A | The power draw of a host when idle in Watt. |
-| maxPower | double | Mhz | yes | N/A | The power draw of a host when using max capacity in Watt. |
-
-
-## Example
-
-```json
-{
- "modelType": "sqrt",
- "idlePower": 32.0,
- "maxPower": 180.0
-}
-```
-
-This creates a power model that uses a square root function to determine the power draw of a host.
-The model uses an idle and max power of 32 W and 180 W respectively.
diff --git a/site/docs/documentation/Input/Topology/PowerSource.md b/site/docs/documentation/Input/Topology/PowerSource.md
deleted file mode 100644
index 993083dd..00000000
--- a/site/docs/documentation/Input/Topology/PowerSource.md
+++ /dev/null
@@ -1,20 +0,0 @@
-Each cluster has a power source that provides power to the hosts in the cluster.
-A user can connect a power source to a carbon trace to determine the carbon emissions during a workload.
-
-The power source consist of the following components:
-
-| variable | type | Unit | required? | default | description |
-|-----------------|--------------|------|-----------|----------------|-----------------------------------------------------------------------------------|
-| name | string | N/A | no | PowerSource | The name of the cluster. This is only important for debugging and post-processing |
-| maxPower | integer | Watt | no | Long.Max_Value | The total power that the power source can provide in Watt. |
-| carbonTracePath | path/to/file | N/A | no | null | A list of the hosts in a cluster. |
-
-## Example
-
-```json
-{
- "carbonTracePath": "carbon_traces/AT_2021-2024.parquet"
-}
-```
-
-This example creates a power source with infinite power draw that uses the carbon trace from the file `carbon_traces/AT_2021-2024.parquet`.
diff --git a/site/docs/documentation/Input/Topology/Topology.md b/site/docs/documentation/Input/Topology/Topology.md
deleted file mode 100644
index afc94e08..00000000
--- a/site/docs/documentation/Input/Topology/Topology.md
+++ /dev/null
@@ -1,183 +0,0 @@
-The topology of a datacenter defines all available hardware. Topologies are defined using a JSON file.
-A topology consist of one or more clusters. Each cluster consist of at least one host on which jobs can be executed.
-Each host consist of one or more CPUs, a memory unit and a power model.
-
-:::info Code
-The code related to reading and processing topology files can be found [here](https://github.com/atlarge-research/opendc/tree/master/opendc-compute/opendc-compute-topology/src/main/kotlin/org/opendc/compute/topology)
-:::
-
-In the following section, we describe the different components of a topology file.
-
-### Cluster
-
-| variable | type | required? | default | description |
-|-------------|---------------------------------------------------------------|-----------|---------|-----------------------------------------------------------------------------------|
-| name | string | no | Cluster | The name of the cluster. This is only important for debugging and post-processing |
-| count | integer | no | 1 | The amount of clusters of this type are in the data center |
-| hosts | List[[Host](/docs/documentation/Input/Topology/Host)] | yes | N/A | A list of the hosts in a cluster. |
-| powerSource | [PowerSource](/docs/documentation/Input/Topology/PowerSource) | no | N/A | The power source used by all hosts connected to this cluster. |
-| battery | [Battery](/docs/documentation/Input/Topology/Battery) | no | null | The battery used by a cluster to store energy. When null, no batteries are used. |
-
-Hosts, power sources and batteries all require objects to use. See their respective pages for more information.
-
-## Examples
-
-In the following section, we discuss several examples of topology files.
-
-### Simple
-
-The simplest data center that can be provided to OpenDC is shown below:
-
-```json
-{
- "clusters": [
- {
- "hosts": [
- {
- "cpu":
- {
- "coreCount": 16,
- "coreSpeed": 1000
- },
- "memory": {
- "memorySize": 100000
- }
- }
- ],
- "powerSource": {
- "carbonTracePath": "carbon_traces/AT_2021-2024.parquet"
- }
- }
- ]
-}
-```
-
-This creates a data center with a single cluster containing a single host. This host consist of a single 16 core CPU
-with a speed of 1 Ghz, and 100 MiB RAM memory.
-
-### Count
-
-Duplicating clusters, hosts, or CPUs is easy using the "count" keyword:
-
-```json
-{
- "clusters": [
- {
- "count": 2,
- "hosts": [
- {
- "count": 5,
- "cpu":
- {
- "coreCount": 16,
- "coreSpeed": 1000,
- "count": 10
- },
- "memory":
- {
- "memorySize": 100000
- }
- }
- ],
- "powerSource": {
- "carbonTracePath": "carbon_traces/AT_2021-2024.parquet"
- }
- }
- ]
-}
-```
-
-This topology creates a datacenter consisting of 2 clusters, both containing 5 hosts. Each host contains 10 16 core
-CPUs.
-Using "count" saves a lot of copying.
-
-### Complex
-
-Following is an example of a more complex topology:
-
-```json
-{
- "clusters": [
- {
- "name": "C01",
- "count": 2,
- "hosts": [
- {
- "name": "H01",
- "count": 2,
- "cpus": [
- {
- "coreCount": 16,
- "coreSpeed": 1000
- }
- ],
- "memory": {
- "memorySize": 1000000
- },
- "powerModel": {
- "modelType": "linear",
- "idlePower": 200.0,
- "maxPower": 400.0
- }
- },
- {
- "name": "H02",
- "count": 2,
- "cpus": [
- {
- "coreCount": 8,
- "coreSpeed": 3000
- }
- ],
- "memory": {
- "memorySize": 100000
- },
- "powerModel": {
- "modelType": "square",
- "idlePower": 300.0,
- "maxPower": 500.0
- }
- }
- ]
- }
- ]
-}
-```
-
-This topology defines two types of hosts with different coreCount, and coreSpeed.
-Both types of hosts are created twice.
-
-
-### With Units of Measure
-
-Aside from using number to indicate values it is also possible to define values using strings. This allows the user to define the unit of the input parameter.
-```json
-{
- "clusters": [
- {
- "count": 2,
- "hosts" :
- [
- {
- "name": "H01",
- "cpuModel":
- {
- "coreCount": 8,
- "coreSpeed": "3.2 Ghz"
- },
- "memory": {
- "memorySize": "128e3 MiB",
- "memorySpeed": "1 Mhz"
- },
- "powerModel": {
- "modelType": "linear",
- "power": "400 Watts",
- "maxPower": "1 KW",
- "idlePower": "0.4 W"
- }
- }
- ]
- }
- ]
-}
-```
diff --git a/site/docs/documentation/Input/Workload.md b/site/docs/documentation/Input/Workload.md
deleted file mode 100644
index 73f39e60..00000000
--- a/site/docs/documentation/Input/Workload.md
+++ /dev/null
@@ -1,31 +0,0 @@
-Workloads define what tasks in the simulation, when they were submitted, and their computational requirements.
-Workload are defined using two files:
-
-- **[Tasks](#tasks)**: The Tasks file contains the metadata of the tasks
-- **[Fragments](#fragments)**: The Fragments file contains the computational demand of each task over time
-
-Both files are provided using the parquet format.
-
-#### Tasks
-The Tasks file provides an overview of the tasks:
-
-| Metric | Required? | Datatype | Unit | Summary |
-|-----------------|-----------|----------|------------------------------|--------------------------------------------------------|
-| id | Yes | string | | The id of the server |
-| submission_time | Yes | int64 | datetime | The submission time of the server |
-| nature | No | string | [deferrable, non-deferrable] | Defines if a task can be delayed |
-| deadline | No | string | datetime | The latest the scheduling of a task can be delayed to. |
-| duration | Yes | int64 | datetime | The finish time of the submission |
-| cpu_count | Yes | int32 | count | The number of CPUs required to run this task |
-| cpu_capacity | Yes | float64 | MHz | The amount of CPU required to run this task |
-| mem_capacity | Yes | int64 | MB | The amount of memory required to run this task |
-
-#### Fragments
-The Fragments file provides information about the computational demand of each task over time:
-
-| Metric | Required? | Datatype | Unit | Summary |
-|-----------|-----------|----------|---------------|---------------------------------------------|
-| id | Yes | string | | The id of the task |
-| duration | Yes | int64 | milli seconds | The duration since the last sample |
-| cpu_count | Yes | int32 | count | The number of cpus required |
-| cpu_usage | Yes | float64 | MHz | The amount of computational power required. |
diff --git a/site/docs/documentation/Input/_category_.json b/site/docs/documentation/Input/_category_.json
deleted file mode 100644
index e433770c..00000000
--- a/site/docs/documentation/Input/_category_.json
+++ /dev/null
@@ -1,7 +0,0 @@
-{
- "label": "Input",
- "position": 1,
- "link": {
- "type": "generated-index"
- }
-}
diff --git a/site/docs/documentation/M3SA/M3SA.md b/site/docs/documentation/M3SA/M3SA.md
deleted file mode 100644
index 6c97d207..00000000
--- a/site/docs/documentation/M3SA/M3SA.md
+++ /dev/null
@@ -1,92 +0,0 @@
-M3SA is setup using a json file. The Multi-Model is a top-layer applied on top of the
-simulator,
-capable to leverage into a singular tool the prediction of multiple models. The Meta-Model is a model generated from the
-Multi-Model, and predicts using the predictions of individual models.
-
-The Multi-Model's properties can be set using a JSON file. The JSON file must be linked to the scenario file and is
-required
-to follow the structure below.
-
-## Schema
-
-The schema for the scenario file is provided in [schema](M3SASchema.md)
-In the following section, we describe the different components of the schema.
-
-### General Structure
-
-| Variable | Type | Required? | Default | Possible Answers | Description |
-|------------------------|---------|-----------|---------------|-------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| multimodel | boolean | no | true | true, false | Whether or not to build a Multi-Model. If set to false, a Meta-Model will not be computed either. |
-| metamodel | boolean | no | true | true, false | Whether to build a Meta-Model. |
-| metric | string | yes | N/A | N/A | What metric to be analyzed from the computed files. |
-| current_unit | string | no | "" | any string (e.g., "CO2", "Wh") | The international system unit of the metric to be analyzed, without prefixes. e.g., "W" for Watt is ok, "kW" is not. |
-| unit_scaling_magnitude | integer | no | 10 | -9, -6, -3, 1, 3, 6, 9 | The scaling factor to be applied to the metric (10^-9, 10^-6, 10^3, 10^3, 10^6, 10^9). For no scaling, input 1. |
-| window_size | integer | no | 1 | any positive, non-zero, integer | The size of the window, used for aggregating the chunks. |
-| window_function | string | no | "mean" | "mean", "median" | The function used by the window for aggregating the chunks (e.g., for "mean", the window will compute the mean of the samples). |
-| meta_function | string | no | "mean" | "mean", "median" | The function used by the Meta-Model to be generated. For "mean", the Meta-Model takes the mean of the individual models, at the granularity established by the window-size. |
-| samples_per_minute | double | no | N/A | any positive, non-zero, double | The number of samples per minute, in the prediction data (simulator export rate). e.g., "0.2" means 1 sample every 5 minutes, "20" means a 20 samples per minute, or 1 sample every 3 seconds. |
-| seed | integer | no | 0 | any integer >= 0 | The seed of the simulation. This must correspond to the seed from the output folder (from seed=x). |
-| plot_type | string | no | "time_series" | "time_series", "cumulative", "cumulative_time_series" | The type of the plot, generated by the Multi-Model and Meta-Model. |
-| plot_title | string | no | "" | any string | The title of the plot. |
-| x_ticks_count | integer | no | None | any integer, larger than 0 | The number of ticks on x-axis. |
-| y_ticks_count | integer | no | None | any integer, larger than 0 | The number of ticks on y-axis. |
-| x_label | string | no | "Time" | any string | The label for the x-axis of the plot. |
-| y_label | string | no | "Metric Unit" | any string | The label for the y-axis of the plot. |
-| y_min | double | no | None | any positive, non-zero, double | The minimum value for the vertical axis of the plot. |
-| y_max | double | no | None | any positive, non-zero, double | The maximum value for the vertical axis of the plot. |
-| x_min | double | no | None | any positive, non-zero, double | The minimum value for the horizontal axis of the plot. |
-| x_max | double | no | None | any positive, non-zero, double | The maximum value for the horizontal axis of the plot. |
-
-## Examples
-
-In the following section, we discuss several examples of M3SA setup files. Any setup file can be verified
-using the JSON schema defined in [schema](M3SASchema.md).
-
-### Simple
-
-The simplest M3SA setup that can be provided to OpenDC is shown below:
-
-```json
-{
- "metric": "power_draw"
-}
-```
-
-This configuration creates a Multi-Model and Meta-Model on the power_draw. All the other parameters are handled by the
-default values, towards reducing the complexity of the setup.
-
-### Complex
-
-A more complex M3SA setup, where the user has more control on teh generated output, is show below:
-
-```json
-{
- "multimodel": true,
- "metamodel": false,
- "metric": "carbon_emission",
- "window_size": 10,
- "window_function": "median",
- "metamodel_function": "mean",
- "samples_per_minute": 0.2,
- "unit_scaling_magnitude": 1000,
- "current_unit": "gCO2",
- "seed": 0,
- "plot_type": "cumulative_time_series",
- "plot_title": "Carbon Emission Prediction",
- "x_label": "Time [days]",
- "y_label": "Carbon Emission [gCO2/kWh]",
- "x_min": 0,
- "x_max": 200,
- "y_min": 500,
- "y_max": 1000,
- "x_ticks_count": 3,
- "y_ticks_count": 3
-}
-```
-
-This configuration creates a Multi-Model and a Meta-Model which predicts the carbon_emission. The window size is 10, and
-the aggregation function (for the window) is median. The Meta-Model function is mean. The data has been exported at a
-rate of 0.2 samples per minute (i.e., a sample every 5 minutes). The plot type is cummulative_time_series, which starts
-from a y-axis value of 500 and goes up to 1000. Therefore, the Multi-Model and the Meta-Model will show only
-the values greater than y_min (500) and smaller than y_max (1000). Also, the x-axis will start from 0 and go up to 200,
-with 3 ticks on the x-axis and 3 ticks on the y-axis.
diff --git a/site/docs/documentation/M3SA/M3SASchema.md b/site/docs/documentation/M3SA/M3SASchema.md
deleted file mode 100644
index 5a3503ca..00000000
--- a/site/docs/documentation/M3SA/M3SASchema.md
+++ /dev/null
@@ -1,115 +0,0 @@
-Below is the schema for the MultiMetaModel JSON file. This schema can be used to validate a MultiMetaModel setup file.
-A setup file can be validated using a JSON schema validator, such as https://www.jsonschemavalidator.net/.
-
-```json
-{
- "$schema": "http://json-schema.org/draft-07/schema#",
- "type": "object",
- "properties": {
- "multimodel": {
- "type": "boolean",
- "default": true,
- "description": "Whether or not to build a Multi-Model. If set to false, a Meta-Model will not be computed either."
- },
- "metamodel": {
- "type": "boolean",
- "default": true,
- "description": "Whether to build a Meta-Model."
- },
- "metric": {
- "type": "string",
- "description": "What metric to be analyzed from the computed files."
- },
- "current_unit": {
- "type": "string",
- "default": "",
- "description": "The international system unit of the metric to be analyzed, without prefixes. e.g., 'W' for Watt is ok, 'kW' is not."
- },
- "unit_scaling_magnitude": {
- "type": "integer",
- "default": 10,
- "enum": [-9, -6, -3, 1, 3, 6, 9],
- "description": "The scaling factor to be applied to the metric (10^-9, 10^-6, 10^3, 10^3, 10^6, 10^9). For no scaling, input 1."
- },
- "seed": {
- "type": "integer",
- "default": 0,
- "minimum": 0,
- "description": "The seed of the simulation. This must correspond to the seed from the output folder (from seed=x)."
- },
- "window_size": {
- "type": "integer",
- "default": 1,
- "minimum": 1,
- "description": "The size of the window, used for aggregating the chunks."
- },
- "window_function": {
- "type": "string",
- "default": "mean",
- "enum": ["mean", "median"],
- "description": "The function used by the window for aggregating the chunks (e.g., for 'mean', the window will compute the mean of the samples)."
- },
- "meta_function": {
- "type": "string",
- "default": "mean",
- "enum": ["mean", "median"],
- "description": "The function used by the Meta-Model to be generated. For 'mean', the Meta-Model takes the mean of the individual models, at the granularity established by the window-size."
- },
- "samples_per_minute": {
- "type": "number",
- "minimum": 0.0001,
- "description": "The number of samples per minute, in the prediction data (simulator export rate). e.g., '0.2' means 1 sample every 5 minutes, '20' means 20 samples per minute, or 1 sample every 3 seconds."
- },
- "plot_type": {
- "type": "string",
- "default": "time_series",
- "enum": ["time_series", "cumulative", "cumulative_time_series"],
- "description": "The type of the plot, generated by the Multi-Model and Meta-Model."
- },
- "plot_title": {
- "type": "string",
- "default": "",
- "description": "The title of the plot."
- },
- "x_label": {
- "type": "string",
- "default": "Time",
- "description": "The label for the x-axis of the plot."
- },
- "y_label": {
- "type": "string",
- "default": "Metric Unit",
- "description": "The label for the y-axis of the plot."
- },
- "y_min": {
- "type": "number",
- "description": "The minimum value for the vertical axis of the plot."
- },
- "y_max": {
- "type": "number",
- "description": "The maximum value for the vertical axis of the plot."
- },
- "x_min": {
- "type": "number",
- "description": "The minimum value for the horizontal axis of the plot."
- },
- "x_max": {
- "type": "number",
- "description": "The maximum value for the horizontal axis of the plot."
- },
- "x_ticks_count": {
- "type": "integer",
- "minimum": 1,
- "description": "The number of ticks on x-axis."
- },
- "y_ticks_count": {
- "type": "integer",
- "minimum": 1,
- "description": "The number of ticks on y-axis."
- }
- },
- "required": [
- "metric"
- ]
-}
-```
diff --git a/site/docs/documentation/Output.md b/site/docs/documentation/Output.md
deleted file mode 100644
index 584b0702..00000000
--- a/site/docs/documentation/Output.md
+++ /dev/null
@@ -1,114 +0,0 @@
-
-Running OpenDC results in five output files:
-1. [Task](#task) contains metrics related to the jobs being executed.
-2. [Host](#host) contains all metrics related to the hosts on which jobs can be executed.
-3. [Power Source](#power-source) contains all metrics related to the power sources that power the hosts.
-4. [Battery](#battery) contains all metrics related to the batteries that power the hosts.
-5. [Service](#service) contains metrics describing the overall performance.
-
-User can define which files, and features are to be included in the output in the experiment file (see [ExportModel](/docs/documentation/Input/ExportModel.md)).
-
-### Task
-The task output file, contains all metrics of related to the tasks that are being executed.
-
-| Metric | Datatype | Unit | Summary |
-|--------------------|----------|-----------|-----------------------------------------------------------------------------|
-| timestamp | int64 | ms | Timestamp of the sample since the start of the workload. |
-| timestamp_absolute | int64 | ms | The absolute timestamp based on the given workload. |
-| task_id | binary | string | The id of the task determined during runtime. |
-| task_name | binary | string | The name of the task provided by the Trace. |
-| host_name | binary | string | The id of the host on which the task is hosted or `null` if it has no host. |
-| mem_capacity | int64 | Mb | The memory required by the task. |
-| cpu_count | int32 | count | The number of CPUs required by the task. |
-| cpu_limit | double | MHz | The capacity of the CPUs of Host on which the task is running. |
-| cpu_usage | double | MHz | The cpu capacity provided by the CPU to the task. |
-| cpu_demand | double | MHz | The cpu capacity demanded of the CPU by the task. |
-| cpu_time_active | int64 | ms | The duration that a CPU was active in the task. |
-| cpu_time_idle | int64 | ms | The duration that a CPU was idle in the task. |
-| cpu_time_steal | int64 | ms | The duration that a vCPU wanted to run, but no capacity was available. |
-| cpu_time_lost | int64 | ms | The duration of CPU time that was lost due to interference. |
-| uptime | int64 | ms | The uptime of the host since last sample. |
-| downtime | int64 | ms | The downtime of the host since last sample. |
-| num_failures | int64 | count | How many times was a task interrupted due to machine failure. |
-| num_pauses | int64 | ms | How many times was a task interrupted due to the TaskStopper. |
-| submission_time | int64 | ms | The time for which the task was enqueued for the scheduler. |
-| schedule_time | int64 | ms | The time at which task got booted. |
-| finish_time | int64 | ms | The time at which the task was finished (either completed or terminated). |
-| task_state | String | TaskState | The current state of the Task. |
-
-### Host
-The host output file, contains all metrics of related to the hosts that are running.
-
-| Metric | DataType | Unit | Summary |
-|--------------------|----------|------------|-----------------------------------------------------------------------------------------------------|
-| timestamp | int64 | ms | Timestamp of the sample. |
-| timestamp_absolute | int64 | ms | The absolute timestamp based on the given workload. |
-| host_name | binary | string | The name of the host. |
-| cluster_name | binary | string | The name of the cluster that this host is part of. |
-| cpu_count | int32 | count | The number of cores in this host. |
-| mem_capacity | int64 | Mb | The amount of available memory. |
-| tasks_terminated | int32 | count | The number of tasks that are in a terminated state. |
-| tasks_running | int32 | count | The number of tasks that are in a running state. |
-| tasks_error | int32 | count | The number of tasks that are in an error state. |
-| tasks_invalid | int32 | count | The number of tasks that are in an unknown state. |
-| cpu_capacity | double | MHz | The total capacity of the CPUs in the host. |
-| cpu_usage | double | MHz | The total CPU capacity provided to all tasks on this host. |
-| cpu_demand | double | MHz | The total CPU capacity demanded by all tasks on this host. |
-| cpu_utilization | double | ratio | The CPU utilization of the host. This is calculated by dividing the cpu_usage, by the cpu_capacity. |
-| cpu_time_active | int64 | ms | The duration that a CPU was active in the host. |
-| cpu_time_idle | int64 | ms | The duration that a CPU was idle in the host. |
-| cpu_time_steal | int64 | ms | The duration that a vCPU wanted to run, but no capacity was available. |
-| cpu_time_lost | int64 | ms | The duration of CPU time that was lost due to interference. |
-| power_draw | double | Watt | The current power draw of the host. |
-| energy_usage | double | Joule (Ws) | The total energy consumption of the host since last sample. |
-| embodied_carbon | double | gram | The total embodied carbon emitted since the last sample. |
-| uptime | int64 | ms | The uptime of the host since last sample. |
-| downtime | int64 | ms | The downtime of the host since last sample. |
-| boot_time | int64 | ms | The time a host got booted. |
-| boot_time_absolute | int64 | ms | The absolute time a host got booted. |
-
-### Power Source
-The power source output file, contains all metrics of related to the power sources.
-
-| Metric | DataType | Unit | Summary |
-|--------------------|----------|------------|-------------------------------------------------------------------|
-| timestamp | int64 | ms | Timestamp of the sample. |
-| timestamp_absolute | int64 | ms | The absolute timestamp based on the given workload. |
-| source_name | binary | string | The name of the power source. |
-| cluster_name | binary | string | The name of the cluster that this power source is part of. |
-| power_draw | double | Watt | The current power draw of the host. |
-| energy_usage | double | Joule (Ws) | The total energy consumption of the host since last sample. |
-| carbon_intensity | double | gCO2/kW | The amount of carbon that is emitted when using a unit of energy. |
-| carbon_emission | double | gram | The amount of carbon emitted since the previous sample. |
-
-### Battery
-The host output file, contains all metrics of related batteries.
-
-| Metric | DataType | Unit | Summary |
-|--------------------|----------|--------------|-------------------------------------------------------------------|
-| timestamp | int64 | ms | Timestamp of the sample. |
-| timestamp_absolute | int64 | ms | The absolute timestamp based on the given workload. |
-| battery_name | binary | string | The name of the battery. |
-| cluster_name | binary | string | The name of the cluster that this battery is part of. |
-| power_draw | double | Watt | The current power draw of the host. |
-| energy_usage | double | Joule (Ws) | The total energy consumption of the host since last sample. |
-| carbon_intensity | double | gCO2/kW | The amount of carbon that is emitted when using a unit of energy. |
-| embodied_carbon | double | gram | The total embodied carbon emitted since the last sample. |
-| charge | double | Joule | The current charge of the battery. |
-| capacity | double | Joule | The total capacity of the battery. |
-| battery_state | String | BatteryState | The current state of the battery. |
-
-### Service
-The service output file, contains metrics providing an overview of the performance.
-
-| Metric | DataType | Unit | Summary |
-|--------------------|----------|-------|-------------------------------------------------------|
-| timestamp | int64 | ms | Timestamp of the sample |
-| timestamp_absolute | int64 | ms | The absolute timestamp based on the given workload |
-| hosts_up | int32 | count | The number of hosts that are up at this instant. |
-| hosts_down | int32 | count | The number of hosts that are down at this instant. |
-| tasks_total | int32 | count | The number of tasks seen by the service. |
-| tasks_pending | int32 | count | The number of tasks that are pending to be scheduled. |
-| tasks_active | int32 | count | The number of tasks that are currently active. |
-| tasks_terminated | int32 | count | The number of tasks that were terminated. |
-| tasks_completed | int32 | count | The number of tasks that finished successfully |
diff --git a/site/docs/documentation/_category_.json b/site/docs/documentation/_category_.json
deleted file mode 100644
index 0776466b..00000000
--- a/site/docs/documentation/_category_.json
+++ /dev/null
@@ -1,7 +0,0 @@
-{
- "label": "Documentation",
- "position": 5,
- "link": {
- "type": "generated-index"
- }
-}
diff --git a/site/docs/getting-started/0-installation.md b/site/docs/getting-started/0-installation.md
deleted file mode 100644
index 76ffd015..00000000
--- a/site/docs/getting-started/0-installation.md
+++ /dev/null
@@ -1,31 +0,0 @@
----
-description: How to install OpenDC locally, and start experimenting in no time.
----
-
-# Installation
-
-This page describes how to set up and configure a local single-user OpenDC installation so that you can quickly get your
-experiments running. You can also use the [hosted version of OpenDC](https://app.opendc.org) to get started even
-quicker (The web server is however missing some more complex features).
-
-
-## Prerequisites
-
-1. **Supported Platforms**
- OpenDC is actively tested on Windows, macOS and GNU/Linux.
-2. **Required Software**
- A Java installation of version 21 or higher is required for OpenDC. You may download the
- [Java distribution from Oracle](https://www.oracle.com/java/technologies/downloads/) or use the distribution provided
- by your package manager.
-
-## Download
-
-To get an OpenDC distribution, download a recent version from our [Releases](https://github.com/atlarge-research/opendc/releases) page on GitHub.
-For basic usage, the OpenDCExperimentRunner is all that is needed.
-
-## Setup
-
-Unpack the downloaded OpenDC distribution. Opening OpenDCExperimentRunner results in two folders, `bin` and `lib`.
-`lib` contains all `.jar` files needed to run OpenDC. `bin` two executable versions of the OpenDCExperimentRunner.
-In the following pages, we discuss how to run an experiment using the executables.
-
diff --git a/site/docs/getting-started/1-start-using-intellij.md b/site/docs/getting-started/1-start-using-intellij.md
deleted file mode 100644
index 6aec91f1..00000000
--- a/site/docs/getting-started/1-start-using-intellij.md
+++ /dev/null
@@ -1,172 +0,0 @@
-
-
-# In this How-To we explain how you setup IntelliJ IDEA
-
-First of all you can download IntelliJ here: https://lp.jetbrains.com/intellij-idea-promo/
-
-# Basic steps
-
-```
-git clone git@github.com:atlarge-research/opendc
-```
-
-Check if you have a compatible java version available. Make sure to have one of these versions available: [21]
-
-If not install a supported version!
-
-On a MAC
-
-```
-/usr/libexec/java_home -V
-```
-
-On Debian
-
-```
-update-alternatives --list java
-```
-
-On Redhat/Centos
-
-```
-yum list installed | grep java
-```
-
-
-Open the project in IntelliJ
-
-![Intellij Open Project](img/intellij_open_project.png)
-
-Now fix the settings so that you use the correct java version. (In the example the java version is set to "21")
-Navigation path in the settings pannel: "Build, Execution, Deployment" -> "Build Tools" -> "Gradle"
-
-![Intellij Settings](img/intellij_settings.png)
-
-Now navigate in the file menu to and open the file: "gradle"/"libs.versions.toml"
-
-Make sure the java version is set to the same version as previously cofigured in the settings.
-
-![Intellij Libs Versions Toml](img/intellij_libs_versions_toml.png)
-
-
-Now open the Gradle panel on the right-hand side of the editor (1) and hit the refresh button at the top of the panel (2).
-
-![Intellij Gradle Panel](img/intellij_gradle_panel.png)
-
-
-# Setup your first experiment and run it from source
-
-
-Create a directory where you are going to put the files for your first experiment.
-
-File structure:
-
-![Experiment File Structure](img/experiment_file_structure.png)
-
-You can download the example workload trace (bitbrains-small-9d2e576e6684ddc57c767a6161e66963.zip) [here](https://atlarge-research.github.io/opendc/assets/files/bitbrains-small-9d2e576e6684ddc57c767a6161e66963.zip)
-
-Now unzip the trace.
-
-The content of "topology.json"
-
-```
-{
- "clusters":
- [
- {
- "name": "C01",
- "hosts" :
- [
- {
- "name": "H01",
- "cpu":
- {
- "coreCount": 32,
- "coreSpeed": 3200
- },
- "memory": {
- "memorySize": 256000
- }
- }
- ]
- },
- {
- "name": "C02",
- "hosts" :
- [
- {
- "name": "H02",
- "count": 6,
- "cpu":
- {
- "coreCount": 8,
- "coreSpeed": 2930
- },
- "memory": {
- "memorySize": 64000
- }
- }
- ]
- },
- {
- "name": "C03",
- "hosts" :
- [
- {
- "name": "H03",
- "count": 2,
- "cpu":
- {
- "coreCount": 16,
- "coreSpeed": 3200
- },
- "memory": {
- "memorySize": 128000
- }
- }
- ]
- }
- ]
-}
-```
-
-The content of "experiment.json"
-
-The paths in the "experiment.json" file are relative to the "working directory" which is configured next.
-
-
-```
-{
- "name": "simple",
- "topologies": [{
- "pathToFile": "topology.json"
- }],
- "workloads": [{
- "pathToFile": "bitbrains-small",
- "type": "ComputeWorkload"
- }]
-}
-```
-
-In the project file structure on the left open the following file:
-
-"opendc-experiments"/"opendc-experiments-base"/"src"/"main"/"kotlin"/"org.opendc.experiment.base"/"runner"/"ExperimentCLi.kt"
-
-![Intellij Experimentcli](img/Intellij_experimentcli.png)
-
-Now open the "Run/Debug" configuration (top right).
-
-![Intellij Open Run Config](img/intellij_open_run_config.png)
-
-We need to edit two settings:
-
-"Program arguments": --experiment-path experiment.json
-
-"Working Directory": a path where you have put the experiment files
-
-![Intellij Edit The Run Config](img/intellij_edit_the_run_config.png)
-
-Now you can click "Run" and start your first experiment.
-
-In the working directory a "output" direcotry is created with the results of the experiment.
-
diff --git a/site/docs/getting-started/2-first-experiment.md b/site/docs/getting-started/2-first-experiment.md
deleted file mode 100644
index 79fd6424..00000000
--- a/site/docs/getting-started/2-first-experiment.md
+++ /dev/null
@@ -1,211 +0,0 @@
----
-description: Designing a simple experiment
----
-
-# First Experiment
-Now that you have downloaded OpenDC, we will start creating a simple experiment.
-In this experiment we will compare the performance of a small, and a big data center on the same workload.
-
-
-[//]: # (:::tip Answer)
-
-[//]: # (<details>)
-
-[//]: # (<summary>Expand for the Answer</summary>)
-
-[//]: # (</details>)
-
-[//]: # (:::)
-
-:::info Learning goal
-During this tutorial, we will learn how to create and execute a simple experiment in OpenDC.
-:::
-
-## Designing a Data Center
-
-The first requirement to run an experiment in OpenDC is a **topology**.
-A **topology** defines the hardware on which a **workload** is executed.
-Larger topologies will be capable of running more workloads, and will often quicker.
-
-A **topology** is defined using a JSON file. A **topology** contains one or more _clusters_.
-_clusters_ are groups of _hosts_ on a specific location. Each cluster consists of one or more _hosts_.
-A _host_ is a machine on which one or more tasks can be executed. _hosts_ are composed of a _cpu_ and a _memory_ unit.
-
-### Simple Data Center
-in this experiment, we are comparing two data centers. Below is an example of the small **topology** file:
-
-```json
-{
- "clusters":
- [
- {
- "name": "C01",
- "hosts" :
- [
- {
- "name": "H01",
- "cpu":
- {
- "coreCount": 12,
- "coreSpeed": 3300
- },
- "memory": {
- "memorySize": 140457600000
- }
- }
- ]
- }
- ]
-}
-```
-
-This **topology** consist of a single _cluster_, with a single _host_.
-
-:::tip
-To use this **topology** in experiment copy the content to a new JSON file, or download it [here](documents/topologies/small.json "download")
-:::
-
-### Simple Data Center
-in this experiment, we are comparing two data centers. Below is an example of the bigger **topology** file:
-
-```json
-{
- "clusters":
- [
- {
- "name": "C01",
- "hosts" :
- [
- {
- "name": "H01",
- "cpu":
- {
- "coreCount": 32,
- "coreSpeed": 3200
- },
- "memory": {
- "memorySize": 256000
- }
- }
- ]
- },
- {
- "name": "C02",
- "hosts" :
- [
- {
- "name": "H02",
- "count": 6,
- "cpu":
- {
- "coreCount": 8,
- "coreSpeed": 2930
- },
- "memory": {
- "memorySize": 64000
- }
- }
- ]
- },
- {
- "name": "C03",
- "hosts" :
- [
- {
- "name": "H03",
- "count": 2,
- "cpu":
- {
- "coreCount": 16,
- "coreSpeed": 3200
- },
- "memory": {
- "memorySize": 128000
- }
- }
- ]
- }
- ]
-}
-```
-
-Compared to the small topology, the big topology consist of three clusters, all consisting of a single host.
-
-:::tip
-To use this **topology** in experiment copy the content to a new JSON file, or download it [here](documents/topologies/big.json "download")
-:::
-
-:::info
-For more in depth information about Topologies, see [Topology](../documentation/Input/Topology)
-:::
-
-## Workloads
-
-Next to the topology, we need a workload to simulate on the data center.
-In OpenDC, workloads are defined as a bag of tasks. Each task is accompanied by one or more fragments.
-These fragments define the computational requirements of the task over time.
-For this experiment, we will use the bitbrains-small workload. This is a small workload of 50 tasks,
-spanning over a bit more than a month time. You can download the workload [here](documents/workloads/bitbrains-small.zip "download")
-
-:::info
-For more in depth information about Workloads, see [Workload](../documentation/Input/Workload.md)
-:::
-
-## Executing an experiment
-
-To run an experiment, we need to create an **experiment** file. This is a JSON file, that defines what should be executed
-by OpenDC, and how. Below is an example of a simple **experiment** file:
-
-```json
-{
- "name": "simple",
- "topologies": [{
- "pathToFile": "topologies/small.json"
- },
- {
- "pathToFile": "topologies/big.json"
- }],
- "workloads": [{
- "pathToFile": "traces/bitbrains-small",
- "type": "ComputeWorkload"
- }]
-}
-```
-
-In this **experiment**, three things are defined. First, is the `name`. This defines how the experiment is called
-in the output folder. Second, is the `topologies`. This defines where OpenDC can find the topology files.
-Finally, the `workloads`. This defines which workload OpenDC should run. You can download the experiment file [here](documents/experiments/simple_experiment.json "download")
-
-As you can see, `topologies` defines two topologies. In this case OpenDC will run two simulations, one with the small
-topology, and one with the big topology.
-
-:::info
-For more in depth information about Experiments, see [Experiment](../documentation/Input/Experiment)
-:::
-
-## Running OpenDC
-At this point, we should have all components to run an experiment. To make sure every file can be used by OpenDC,
-please create an experiment folder such as the one shown below:
-```
-── {simulation-folder-name} 📁 🔧
- ├── topologies 📁 🔒
- │ └── small.json 📄 🔧
- │ └── big.json 📄 🔧
- ├── experiments 📁 🔒
- │ └── simple_experiment.json 📄 🔧
- ├── workloads 📁 🔒
- │ └── bitbrains-small 📁 🔒
- │ └── fragments.parquet 📄 🔧
- │ └── tasks.parquet 📄 🔧
- ├── OpenDCExperimentRunner 📁 🔒
- │ └── lib 📁 🔒
- │ └── bin 📁 🔒
- ├── output 📁 🔒
-```
-
-Executing the experiment can be done directly from the terminal.
-Execute the following code from the terminal in simulation-folder-name
-
-```
-$ ./OpenDCExperimentRunner/bin/OpenDCExperimentRunner.sh --experiment-path "experiments/simple_experiment.json"
-```
diff --git a/site/docs/getting-started/3-whats-next.md b/site/docs/getting-started/3-whats-next.md
deleted file mode 100644
index b7598022..00000000
--- a/site/docs/getting-started/3-whats-next.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-description: How to supercharge your designs and experiments with OpenDC.
----
-
-# What's next?
-
-Congratulations! You have just learned how to design and experiment with a (virtual) datacenter in OpenDC. What's next?
-
-- Follow one of the [tutorials](/docs/category/tutorials) using OpenDC.
-- Read about [existing work using OpenDC](/community/research).
-- Get involved in the [OpenDC Community](/community/support).
-- If you are interested in contributing to OpenDC you can find a How-To here [4-start-using-intellij](1-start-using-intellij.md), please also read https://github.com/atlarge-research/opendc/blob/master/CONTRIBUTING.md.
diff --git a/site/docs/getting-started/_category_.json b/site/docs/getting-started/_category_.json
deleted file mode 100644
index 169f7a27..00000000
--- a/site/docs/getting-started/_category_.json
+++ /dev/null
@@ -1,8 +0,0 @@
-{
- "label": "Getting Started",
- "position": 2,
- "link": {
- "type": "generated-index",
- "description": "10 minutes to learn the most important concepts of OpenDC."
- }
-}
diff --git a/site/docs/getting-started/documents/experiments/simple_experiment.json b/site/docs/getting-started/documents/experiments/simple_experiment.json
deleted file mode 100644
index 74429fdb..00000000
--- a/site/docs/getting-started/documents/experiments/simple_experiment.json
+++ /dev/null
@@ -1,13 +0,0 @@
-{
- "name": "simple",
- "topologies": [{
- "pathToFile": "topologies/small.json"
- },
- {
- "pathToFile": "topologies/big.json"
- }],
- "workloads": [{
- "pathToFile": "traces/bitbrains-small",
- "type": "ComputeWorkload"
- }]
-}
diff --git a/site/docs/getting-started/documents/topologies/big.json b/site/docs/getting-started/documents/topologies/big.json
deleted file mode 100644
index c3a060cc..00000000
--- a/site/docs/getting-started/documents/topologies/big.json
+++ /dev/null
@@ -1,59 +0,0 @@
-{
- "clusters":
- [
- {
- "name": "C01",
- "hosts" :
- [
- {
- "name": "H01",
- "cpu":
- {
- "coreCount": 32,
- "coreSpeed": 3200
- },
- "memory": {
- "memorySize": 256000
- }
- }
- ]
- },
- {
- "name": "C02",
- "hosts" :
- [
- {
- "name": "H02",
- "count": 6,
- "cpu":
- {
- "coreCount": 8,
- "coreSpeed": 2930
- },
- "memory": {
- "memorySize": 64000
- }
- }
- ]
- },
- {
- "name": "C03",
- "hosts" :
- [
- {
- "name": "H03",
- "count": 2,
- "cpu":
- {
- "coreCount": 16,
- "coreSpeed": 3200
- },
- "memory": {
- "memorySize": 128000
- }
- }
- ]
- }
- ]
-}
-
diff --git a/site/docs/getting-started/documents/topologies/small.json b/site/docs/getting-started/documents/topologies/small.json
deleted file mode 100644
index 54e3c6fc..00000000
--- a/site/docs/getting-started/documents/topologies/small.json
+++ /dev/null
@@ -1,22 +0,0 @@
-{
- "clusters":
- [
- {
- "name": "C01",
- "hosts" :
- [
- {
- "name": "H01",
- "cpu":
- {
- "coreCount": 12,
- "coreSpeed": 3300
- },
- "memory": {
- "memorySize": 140457600000
- }
- }
- ]
- }
- ]
-}
diff --git a/site/docs/getting-started/documents/workloads/bitbrains-small.zip b/site/docs/getting-started/documents/workloads/bitbrains-small.zip
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+++ /dev/null
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diff --git a/site/docs/intro.mdx b/site/docs/intro.mdx
deleted file mode 100644
index 840ae343..00000000
--- a/site/docs/intro.mdx
+++ /dev/null
@@ -1,27 +0,0 @@
----
-sidebar_position: 1
----
-
-# Introduction
-
-OpenDC is a free and open-source platform for cloud datacenter simulation aimed at both research and education.
-
-<div className="container">
- <div className="row">
- <div className="col col-3 text--center">
- <img src={require("@site/src/components/HomepageFeatures/screenshot-construction.png").default} alt="Constructing a cloud datacenter with OpenDC" />
- </div>
- <div className="col col-3 text--center">
- <img src={require("@site/src/components/HomepageFeatures/screenshot-results.png").default} alt="Analysis of results reported by OpenDC" />
- </div>
- </div>
-</div>
-
-Users can construct new datacenter designs and define portfolios of scenarios (experiments) to explore how their designs
-perform under different workloads, schedulers, and phenomena (e.g., failures or performance interference).
-
-OpenDC is accessible both as a ready-to-use platform hosted by us online at [app.opendc.org](https://app.opendc.org), and as
-source code that users can run locally on their own machine or via Docker.
-
-To learn more about OpenDC, have a look through our paper on [OpenDC 2.0](https://atlarge-research.com/pdfs/ccgrid21-opendc-paper.pdf)
-or on our [vision](https://atlarge-research.com/pdfs/opendc-vision17ispdc_cr.pdf).
diff --git a/site/docs/tutorials/M3SA-integration-tutorial.mdx b/site/docs/tutorials/M3SA-integration-tutorial.mdx
deleted file mode 100644
index c09011c7..00000000
--- a/site/docs/tutorials/M3SA-integration-tutorial.mdx
+++ /dev/null
@@ -1,188 +0,0 @@
----
-sidebar_position: 2
-title: M3SA Integration
-hide_title: true
-sidebar_label: M3SA Integration
-description: M3SA Integration
----
-
-# M3SA integration tutorial
-
-M3SA is a tool able to perform "Multi-Meta-Model Simulation Analysis". The tool is designed to analyze the output of
-simulations, by leveraging predictions, generate Multi-Model graphs, novel models, and more. M3SA can integrate with any
-simulation infrastructure, as long as integration steps are followed.
-
-We build our tool towards performance, scalability, and **universality**. In this document, we present the steps to
-integrate our tool into your simulation infrastructure.
-
-If you are using OpenDC, none of adaptation steps are necessary, yet they can be useful to understand the structure
-of the tool. Step 3 is still necessary.
-
-## Step 1: Adapt the simulator output folder structure
-
-The first step is to adapt the I/O of your simulation to the format of our tool. The output folder structure should have
-the
-following format:
-
-```
-[1] ── {simulation-folder-name} 📁 🔧
-[2] ├── inputs 📁 🔒
-[3] │ └── {m3sa-config-file}.json 📄 🔧
-[4] │ └── {other input files / folders} 🔧
-[5] ├── outputs 📁 🔒
-[6] │ ├── raw-output 📁 🔒
-[7] │ │ ├── 0 📁 🔒
-[8] │ │ │ └── seed={your_seed}🔒
-[9] │ │ │ └── {simulation_data_file}.parquet 📄 🔧
-[10] │ │ │ └── {any other files / folders} ⚪
-[11] │ │ ├── 1 📁 ⚪ 🔒
-[12] │ │ │ └── seed={your_seed} 📁 ⚪ 🔒
-[13] │ │ │ └── {simulation_data_file}.parquet 📄 ⚪ 🔧
-[14] │ │ │ └── {any other files / folders} ⚪󠁪
-[15] │ │ ├── metamodel 📁 ⚪
-[16] │ │ └── seed={your_seed} 📁 ⚪
-[17] │ │ └── {your_metric_name}.parquet 📄 ⚪
-[18] │ │ └── {any other files / folders} ⚪
-[19] │ └── {any other files / folders} 📁 ⚪
-[20]| └──{any other files / folders} 📁 ⚪
-```
-
-📄 = file <br />
-📁 = folder <br />
-🔒 = fixed, the name of the folder/file must be the same.<br />
-🔧 = flexible, the name of the folder/file can differ. However, the item must be present.<br />
-⚪ = optional and flexible. The item can be absent. <br />
-
-- [1] = the name of the analyzed folder.
-- [2] = the _inputs_ folder, containing various inputs / configuration files.
-- [3] = the configuration file for M3SA, flexible naming, but needs to be a JSON file
-- [4],[10],[14],[18],[19],[20] = any other input files or folders.
-- [5] = the _outputs_ folder, containing the raw-output. can contain any other files or folders, besides the raw-output
-folder.
-After running a simulation, also a "simulation-analysis" folder will be generated in this folder.
-- [6] = raw-output folder, containing the raw output of the simulation.
-- [7],[11] = the IDs of the models. Must always start from zero. Possible values are 0, 1, 2 ... n, and "metamodel". The
-id
-of "metamodel" is reserved for the Meta-Model. Any simulation data in the respective folder will be treated as
-Meta-Model data.
-- [8],[12] = the seed of the simulation. the seed must be the same for both [8], [12], and other equivalent, further
-files.
-- [9],[13] = the file in which the simulation data is stored. The name of the file can differ, but it must be a parquet
-file.
-- [15] = the Meta-Model folder, optional. If the folder is present, its data will be treated as Meta-Model data.
-- [16] = the Meta-Model seed folder. The seed must be the same as the seed of the simulation.
-- [17] = the Meta-Model output. The name of the file is of the type ```{your_metric_name}.parquet```. For example, if
-you analyze CO2 emissions, the file will be named ```co2_emissions.parquet```.
-
----
-
-## Step 2: Adapt the simulation file format
-
-The simulator data file must be a 🪵 _parquet_ 🪵 file.
-
-The file must contain (at least) the columns:
-
-- timestamp: the timestamp, in miliseconds, of the data point (e.g., 30000, 60000, 90000) - the time unit is flexible.
-- {metric_name}: the value of the metric at the given timestamp. This is the metric analyzed (e.g., CO2_emissions,
-energy_usage).
-
-e.g., if you are analyzing the CO2 emissions of a datacenter, for a timeperiod of 5 minutes, and the data is sampled
-every 30 seconds, the file will look like this:
-
-| timestamp | co2_emissions |
-|-----------|---------------|
-| 30000 | 31.2 |
-| 60000 | 31.4 |
-| 90000 | 28.5 |
-| 120000 | 31.8 |
-| 150000 | 51.5 |
-| 180000 | 51.2 |
-| 210000 | 51.4 |
-| 240000 | 21.5 |
-| 270000 | 21.8 |
-| 300000 | 21.2 |
-
----
-
-## Step 3: Running M3SA
-
-### 3.1 Setup the Simulator Specifics
-
-Update the simulation folder name ([9], [13], [17] from Step 1), in the
-file ```simulator_specifics.py```, from ```opendc/src/python/simulator_specifics.py```.
-
-### 3.2 Setup the python program arguments
-
-### Arguments for Main.py Setup
-Main.py takes two arguments:
-
-1. Argument 1 is the path to the output directory where M3SA output files will be stored.
-2. Argument 2 is the path to the input file that contains the configuration of M3SA.
-
-e.g.,
-
-```json
-"simulation-123/outputs/" "simulation-123/inputs/m3sa-configurator.json"
-```
-
-### 3.3 Working directory Main.py Setup
-
-Make sure to set the working directory to the directory where the main.py file is located.
-
-e.g.,
-
-```
-/your/path/to-analyzer/src/main/python
-```
-
-If you are using OpenDC, you can set the working directory to the following path:
-
-```
-/your/path/opendc/opendc-analyze/src/main/python
-```
-
----
-
-## Optional: Step 4: Simulate and analyze, with one click
-
-The simulation and analysis can be executed as a single command; if no errors are encountered, from the user
-perspective,
-this operation is atomic. We integrated M3SA into OpenDC to facilitate this process.
-
-To further integrate M3SA into any simulation infrastructure, M3SA needs to called from
-the simulation infrastructure, and provided the following running setup:
-
-1. script language: Python
-2. argument 1: the path of the output directory, in which M3SA output files will be stored
-3. argument 2: the path of the input file, containing the configuration of M3SA
-4. other language-specific setup
-
-For example, the integration of the M3SA into OpenDC can be found
-in ```Analyzr.kt``` from ```opendc-analyze/src/main/kotlin/Analyzr.kt```.
-Below, we provide a snippet of the code:
-
-```kotlin
-val ANALYSIS_SCRIPTS_DIRECTORY: String = "./opendc-analyze/src/main/python"
-val ABSOLUTE_SCRIPT_PATH: String =
- Path("$ANALYSIS_SCRIPTS_DIRECTORY/main.py").toAbsolutePath().normalize().toString()
-val SCRIPT_LANGUAGE: String = "python3"
-
-fun analyzeResults(outputFolderPath: String, analyzerSetupPath: String) {
- val process = ProcessBuilder(
- SCRIPT_LANGUAGE,
- ABSOLUTE_SCRIPT_PATH,
- outputFolderPath, // argument 1
- analyzerSetupPath // argument 2
- )
- .directory(Path(ANALYSIS_SCRIPTS_DIRECTORY).toFile())
- .start()
-
- val exitCode = process.waitFor()
- if (exitCode == 0) {
- println("[Analyzr.kt says] Analysis completed successfully.")
- } else {
- val errors = process.errorStream.bufferedReader().readText()
- println("[Analyzr.kt says] Exit code ${exitCode}; Error(s): $errors")
- }
-}
-```
diff --git a/site/docs/tutorials/_category_.json b/site/docs/tutorials/_category_.json
deleted file mode 100644
index 5d3c1ca0..00000000
--- a/site/docs/tutorials/_category_.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
- "label": "Tutorials",
- "position": 3,
- "link": {
- "type": "generated-index",
- "description": "Tutorials demonstrating how to conduct experiments with OpenDC."
-
- }
-}
diff --git a/site/docs/tutorials/img/cpu-usage.png b/site/docs/tutorials/img/cpu-usage.png
deleted file mode 100644
index 86955b6a..00000000
--- a/site/docs/tutorials/img/cpu-usage.png
+++ /dev/null
Binary files differ
diff --git a/site/docs/tutorials/img/resource-distribution.png b/site/docs/tutorials/img/resource-distribution.png
deleted file mode 100644
index b371a07a..00000000
--- a/site/docs/tutorials/img/resource-distribution.png
+++ /dev/null
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diff --git a/site/docusaurus.config.js b/site/docusaurus.config.js
deleted file mode 100644
index 8fbef549..00000000
--- a/site/docusaurus.config.js
+++ /dev/null
@@ -1,145 +0,0 @@
-// @ts-check
-
-const organizationName = "atlarge-research";
-const projectName = "opendc";
-
-const lightCodeTheme = require("prism-react-renderer/themes/github");
-const darkCodeTheme = require("prism-react-renderer/themes/dracula");
-
-/** @type {import("@docusaurus/types").Config} */
-const config = {
- title: "OpenDC",
- tagline: "Collaborative Datacenter Simulation and Exploration for Everybody",
- url: process.env.DOCUSAURUS_URL || `https://${organizationName}.github.io`,
- baseUrl: process.env.DOCUSAURUS_BASE_PATH || `/${projectName}/`,
- onBrokenLinks: "throw",
- onBrokenMarkdownLinks: "warn",
- favicon: "img/favicon.ico",
- organizationName,
- projectName,
-
- i18n: {
- defaultLocale: "en",
- locales: ["en"]
- },
-
- presets: [
- [
- "classic",
- /** @type {import("@docusaurus/preset-classic").Options} */
- ({
- docs: {
- sidebarPath: require.resolve("./sidebars.js"),
- editUrl: `https://github.com/${organizationName}/${projectName}/tree/master/site/`
- },
- theme: {
- customCss: require.resolve("./src/css/custom.css")
- }
- })
- ]
- ],
-
- plugins: [
- [
- "content-docs",
- // /** @type {import("@docusaurus/plugin-content-docs").Options} */
- ({
- id: "community",
- path: "community",
- routeBasePath: "community",
- editUrl: `https://github.com/${organizationName}/${projectName}/tree/master/site/`,
- sidebarPath: require.resolve("./sidebars.js")
- })
- ]
- ],
-
- themeConfig:
- /** @type {import("@docusaurus/preset-classic").ThemeConfig} */
- ({
- navbar: {
- title: "OpenDC",
- logo: {
- alt: "OpenDC logo",
- src: "/img/logo.svg"
- },
- items: [
- {
- type: "doc",
- docId: "intro",
- position: "left",
- label: "Learn"
- },
- {
- to: "/community/support",
- label: "Community",
- position: "left",
- activeBaseRegex: `/community/`
- },
- {
- href: "https://app.opendc.org",
- html: "Log In",
- position: "right",
- className: "header-app-link button button--outline button--primary",
- "aria-label": "OpenDC web application",
- },
- {
- href: `https://github.com/${organizationName}/${projectName}`,
- position: "right",
- className: "header-github-link",
- "aria-label": "GitHub repository",
- },
- ]
- },
- footer: {
- style: "dark",
- links: [
- {
- title: "Learn",
- items: [
- {
- label: "Getting Started",
- to: "/docs/category/getting-started"
- },
- {
- label: "Tutorials",
- to: "/docs/category/tutorials"
- }
- ]
- },
- {
- title: "Community",
- items: [
- {
- label: "Support",
- to: "/community/support"
- },
- {
- label: "Team",
- to: "/community/team"
- },
- {
- label: "GitHub Discussions",
- href: `https://github.com/${organizationName}/${projectName}/discussions`
- }
- ]
- },
- {
- title: "More",
- items: [
- {
- label: "GitHub",
- href: `https://github.com/${organizationName}/${projectName}`
- }
- ]
- }
- ],
- copyright: `Copyright © ${new Date().getFullYear()} AtLarge Research. Built with Docusaurus.`
- },
- prism: {
- theme: lightCodeTheme,
- darkTheme: darkCodeTheme
- }
- })
-};
-
-module.exports = config;
diff --git a/site/old_files/advanced-guides/_category_.json b/site/old_files/advanced-guides/_category_.json
deleted file mode 100644
index a74f4f42..00000000
--- a/site/old_files/advanced-guides/_category_.json
+++ /dev/null
@@ -1,7 +0,0 @@
-{
- "label": "Advanced Guides",
- "position": 4,
- "link": {
- "type": "generated-index"
- }
-}
diff --git a/site/old_files/advanced-guides/architecture.md b/site/old_files/advanced-guides/architecture.md
deleted file mode 100644
index 2a65a6c6..00000000
--- a/site/old_files/advanced-guides/architecture.md
+++ /dev/null
@@ -1,26 +0,0 @@
----
-sidebar_position: 2
----
-
-# Architecture
-
-OpenDC consists of four components: a Kotlin simulator, a SQL database, a Quarkus-based
-[API](https://github.com/atlarge-research/opendc/tree/master/opendc-web/opendc-web-api), and a
-React.js [frontend](https://github.com/atlarge-research/opendc/tree/master/opendc-web/opendc-web-api).
-
-![OpenDC Component Diagram](img/component-diagram.png)
-
-On the frontend, users can construct a topology by specifying a datacenter's rooms, racks and machines, and create
-scenarios to see how a workload trace runs on that topology. The frontend communicates with the web server via a REST
-API over HTTP.
-
-The (Swagger/OpenAPI compliant) API spec specifies what requests the frontend can make to the web server. To view this
-specification, go to the [Swagger Editor](https://editor.swagger.io/) and paste in
-our [API spec](https://api.opendc.org/q/openapi).
-
-The web server receives API requests and processes them in the database. When the frontend requests to run a new
-scenario, the web server adds it to the `scenarios` collection in the database and sets its `state` as `PENDING`.
-
-The simulator monitors the database for `PENDING` scenarios, and simulates them as they are submitted. The results of
-the simulations are processed and aggregated in memory. Afterwards, the aggregated summary is written to the database,
-which the frontend can then again retrieve via the web server.
diff --git a/site/old_files/advanced-guides/deploy.md b/site/old_files/advanced-guides/deploy.md
deleted file mode 100644
index 2ee69c07..00000000
--- a/site/old_files/advanced-guides/deploy.md
+++ /dev/null
@@ -1,84 +0,0 @@
----
-sidebar_position: 3
----
-
-# Deploying OpenDC
-This document explains how you can deploy a multi-tenant instance of OpenDC using Docker.
-
-## Contents
-
-1. [Setting up Auth0](#setting-up-auth0)
-1. [Installing Docker](#installing-docker)
-1. [Running OpenDC from source](#running-opendc-from-source)
-
-## Setting up Auth0
-
-OpenDC uses [Auth0](https://auth0.com) as Identity Provider so that OpenDC does not have to manage user data itself,
-which greatly simplifies our frontend and backend implementation. We have chosen to use Auth0 as it is a well-known
-Identity Provider with good software support and a free tier for users to experiment with.
-
-To deploy OpenDC yourself, you need to have an [Auth0 tenant](https://auth0.com/docs/get-started/learn-the-basics) and
-create:
-
-1. **An API**
- You need to define the OpenDC API server in Auth0. Please refer to the [following guide](https://auth0.com/docs/quickstart/backend/python/01-authorization#create-an-api)
- on how to define an API in Auth0.
-
- Remember the identifier you created the API with, as we need it in the next steps (as `OPENDC_AUTH0_AUDIENCE`).
-2. **A Single Page Application (SPA)**
- You need to define the OpenDC frontend application in Auth0. Please see the [following guide](https://auth0.com/docs/quickstart/spa/react#configure-auth0)
- on how you can define an SPA in Auth0. Make sure you have added the necessary URLs to the _Allowed Callback URLs_:
- for a local deployment, you should add at least `http://localhost:3000, http://localhost:8080`.
-
- Once your application has been created, you should have a _Domain_ and _Client ID_ which we need to pass to the
- frontend application (as `OPENDC_AUTH0_DOMAIN` and `OPENDC_AUTH0_CLIENT_ID` respectively).
-
-
-## Installing Docker
-
-OpenDC uses [Docker](https://www.docker.com/) and [Docker Compose](https://docs.docker.com/compose/) to orchestrate the
-deployment of the software stack. Please refer to [Docker Desktop](https://www.docker.com/products/docker-desktop) for
-instructions on how install Docker on your machine.
-
-## Running OpenDC from source
-
-To build and run the full OpenDC stack locally on Linux or Mac, you first need to clone the project:
-
-```bash
-git clone https://github.com/atlarge-research/opendc.git
-
-# Enter the directory
-cd opendc/
-```
-
-In the directory you just entered, you need to set up a set of environment variables. To do this, create a file
-called `.env` in the `opendc` folder. In this file, replace `your-auth0-*` with the Auth0 details you got from the first
-step. For a standard setup, you can leave the other settings as-is.
-
-```.env
-OPENDC_DB_USERNAME=opendc
-OPENDC_DB_PASSWORD=opendcpassword
-OPENDC_AUTH0_DOMAIN=your-auth0-domain
-OPENDC_AUTH0_CLIENT_ID=your-auth0-client-id
-OPENDC_AUTH0_AUDIENCE=your-auth0-api-identifier
-OPENDC_API_BASE_URL=http://web
-```
-
-We provide a set of default traces for you to experiment with. If you want to add others, place them in the `traces`
-directory and add entries to the database (see also [the SQL init script](https://github.com/atlarge-research/opendc/tree/master/opendc-web/opendc-web-server/src/main/resources/db/migration/V1.0.0__core.sql))
-
-If you plan to deploy publicly, please also tweak the other settings. In that case, also check the `docker-compose.yml`
-and `docker-compose.prod.yml` for further instructions.
-
-Now, start the server:
-
-```bash
-# Build the Docker image
-docker-compose build
-
-# Start the containers
-docker-compose up
-```
-
-Wait a few seconds and open `http://localhost:8080` in your browser to use OpenDC. We recommend Google Chrome for the
-best user experience.
diff --git a/site/old_files/advanced-guides/img/component-diagram.png b/site/old_files/advanced-guides/img/component-diagram.png
deleted file mode 100644
index 312ca72a..00000000
--- a/site/old_files/advanced-guides/img/component-diagram.png
+++ /dev/null
Binary files differ
diff --git a/site/old_files/advanced-guides/toolchain.md b/site/old_files/advanced-guides/toolchain.md
deleted file mode 100644
index 1673d974..00000000
--- a/site/old_files/advanced-guides/toolchain.md
+++ /dev/null
@@ -1,74 +0,0 @@
----
-sidebar_position: 1
----
-
-# Toolchain Setup
-
-The OpenDC simulator is built using the [Kotlin](https://kotlinlang.org/) language. This is a JVM-based language that
-should appear familiar to programmers knowledgeable in Java or Scala. For a short interactive introduction to Kotlin,
-the [Learn Kotlin By Example](https://play.kotlinlang.org/byExample/overview) docs are a great place to start.
-
-For the build and dependency toolchain, we use [Gradle](https://gradle.org/). You will likely not need to change the
-Gradle build configurations of components, but you will use Gradle to execute builds and tests on the codebase.
-
-Follow the steps below to get it all set up!
-
-## Contents
-
-1. [Installing Java](#1-installing-java)
-2. [Building and Developing](#2-building-and-developing)
-3. [Setup with IntelliJ IDEA](#21-setup-with-intellij-idea)
-4. [Setup with Command Line](#22-setup-with-command-line)
-
-## 1. Installing Java
-
-OpenDC requires a Java installation of version 17 or higher. Make sure to install
-the [JDK](https://www.oracle.com/technetwork/java/javase/downloads/index.html), not only the JRE (the JDK also includes
-a JRE).
-
-## 2. Building and Developing
-
-With Java installed, we're ready to set up the development environment on your machine. You can either use a visual IDE
-or work from a command line shell. We outline both approaches below, feel free to choose which you are most comfortable
-with. If in doubt which one to choose, we suggest going with the first one.
-
-## 2.1 Setup with IntelliJ IDEA
-
-We suggest using [IntelliJ IDEA](https://www.jetbrains.com/idea/) as development environment. Once you have installed
-any version of this IDE on your machine, choose "Get from Version Control" in the new project dialogue.
-Enter `https://github.com/atlarge-research/opendc` as URL and submit your credentials when asked.
-Open the project once it's ready fetching the codebase, and let it set up with the defaults (IntelliJ will recognize
-that this is a Gradle codebase).
-
-You will now be prompted in a dialogue to enable auto-import for Gradle, which we suggest you do. Wait for any progress
-bars in the lower bar to disappear and then look for the Gradle simHyperVisorContext menu on the right-hand side. In it, go
-to `opendc > Tasks > verification > test`. This will build the codebase and run checks to verify that tests
-pass. If you get a `BUILD SUCCESSFUL` message, you're ready to go to the [next section](architecture)!
-
-## 2.2 Setup with Command Line
-
-First, clone the repository with the following command:
-
-```shell script
-git clone https://github.com/atlarge-research/opendc
-```
-
-And enter the directory:
-
-```shell script
-cd opendc
-```
-
-If on Windows, run the batch file included in the root, as follows:
-
-```commandline
-gradlew.bat test
-```
-
-If on Linux/macOS, run the shell script included in the root, as follows:
-
-```shell script
-./gradlew test
-```
-
-If the build is successful, you are ready to go to the next section!
diff --git a/site/old_files/cloud-capacity-planning.mdx b/site/old_files/cloud-capacity-planning.mdx
deleted file mode 100644
index df9cb566..00000000
--- a/site/old_files/cloud-capacity-planning.mdx
+++ /dev/null
@@ -1,277 +0,0 @@
----
-sidebar_position: 1
-title: Cloud Capacity Planning
-hide_title: true
-sidebar_label: Cloud Capacity Planning
-description: Cloud Capacity Planning
----
-
-# Cloud Capacity Planning Tutorial
-
-Using OpenDC to plan and design cloud datacenters.
-
-:::info Learning goal
-
-By doing this assignment, you will learn more about the basic concepts of datacenters and cloud computing systems, as
-well as how such systems are planned and designed.
-:::
-
-## Preamble
-
-Datacenter infrastructure is important in today’s digital society. Stakeholders across industry, government, and
-academia employ a vast and diverse array of cloud services hosted by datacenter infrastructure, and expect services to
-be reliable, high speed, and low cost. In turn, datacenter operators must maintain efficient operation at unprecedented
-scale.
-
-To keep up with growing demand and increasing complexity, architects of datacenters must address complex challenges in
-distributed systems, software engineering and performance engineering. One of these challenges is efficient utilization
-of resources in datacenters, which is only 6-12% industry-wide despite the fact that it is inconvenient for datacenter
-operators to keep much of their infrastructure idle, due to resulting high energy consumption and thus unnecessary
-costs.
-
-It is often quite difficult to implement optimizations or other changes in datacenters. Datacenter operators tend to be
-conservative in adopting such changes in fear of failure or misbehaving systems. Furthermore, testing changes at the
-scale of modern datacenter infrastructure in a real-world setting is prohibitively expensive and hard to reproduce,
-notwithstanding environmental concerns.
-
-A more viable alternative is the use of datacenter simulators such as OpenDC or CloudSim. These tools model datacenter
-infrastructure at a good accuracy and allow us to test changes in a controllable and repeatable environment.
-
-In this tutorial, we will use the OpenDC datacenter simulator to experiment with datacenters and demonstrate the
-process of designing and optimizing datacenters using simulation.
-
-## What is OpenDC
-
-OpenDC is an open source platform for datacenter simulation developed by AtLarge Research. The purpose of OpenDC is
-twofold: we aim to both enable cloud computing education and support research into datacenters.
-An example of the former is this tutorial, and examples of the latter include the numerous BSc and MSc research projects
-that are using OpenDC to run experiments and perform research.
-
-:::caution
-
-OpenDC is still an experimental tool. Your data may get lost, overwritten, or otherwise become unavailable. Sorry for
-the inconvenience.
-
-:::
-
-If you are not familiar with the OpenDC web interface, please follow the [Getting Started](/docs/category/getting-started)
-guide to get an understanding of the main concepts of OpenDC and how to design a datacenter.
-
-:::note Action
-
-Set up a project on the OpenDC website.
-
-:::
-
-
-## Assignment
-
-Acme Inc. is a small datacenter operator in the Netherlands. They are currently in the process of acquiring a new client
-and closing a deal where Acme will migrate all of the client’s business-critical workloads from internal machines to
-Acme’s datacenters. With this deal, the client aims to outsource the maintenance of their digital infrastructure, but in
-turn expects reliable and efficient operation from Acme.
-
-To demonstrate that Acme is capable of this task, it has started a pilot project with the client where Acme will migrate
-already a small subset of the client’s workloads. You are an engineer at Acme. and have been tasked with the design and
-procurement of the datacenter infrastructure required for this pilot project.
-
-To guide your design, the client has provided a workload trace of their business-critical workloads, which consist of
-the historical runtime behavior of 50 virtual machines over time. These virtual machines differ in resource
-requirements (e.g. number of vCPUs or memory) and in resource consumption over time. We can use OpenDC to simulate this
-workload trace and validate your datacenter design.
-
-The assignment is divided into four parts:
-1. Analyzing the requirements to estimate what resources are needed.
-2. Building your design in OpenDC
-3. Validating your design in OpenDC
-4. Optimizing your design in OpenDC
-
-Make notes of your thoughts on the following assignments & questions and discuss with your partner(s).
-
-## Analyze the Requirements
-
-The first step of the assignment is to analyze the requirements of the client in order to come up with a reasonable
-estimation of the datacenter infrastructure needed. This estimation will become our initial design which we will build
-and validate in OpenDC.
-
-Since the client has provided a workload trace representative of the workload that will eventually be running in the
-datacenter, we can use it to guide our design. In [Figure 1](#resource-distribution), the requested memory and vCPUs are
-depicted for the virtual machines in the workload trace.
-
-:::note Action
-
-Determine the total amount of vCPUs and memory required in the trace.
-
-:::
-
-<figure className="figure" id="resource-distribution">
- <img src={require("./img/resource-distribution.png").default} alt="Resource requirements for the workload" />
- <figcaption>
- Requested number of vCPUs and memory (in GB) by the
- virtual machines in the workload. The left figure shows the number of virtual machines that have requested 1, 2, 4 or 8
- vCPUs. The right figure shows the amount of memory requested compared to the number of vCPUs in the virtual machine.
- </figcaption>
-</figure>
-
-Based on this information, we could choose to purchase a new machine for every virtual machine in the workload trace.
-Such a design will most certainly be able to handle the workload. At the same time, it is much more expensive and
-probably unnecessary.
-
-In [Figure 2](#cpu-usage), the CPU Usage (in MHz) of the virtual machines in the workload is depicted over time. Observe that the
-median CPU usage of the virtual machines over the whole trace is approximately 100 MHz. This means that a 2-core
-processor with a base clock 3500 MHz would have utilization of only 1.4% (`100 MHz / (3500 MHz x 2)`) for such a median
-workload.
-
-<figure className="figure" id="cpu-usage">
- <img src={require("./img/cpu-usage.png").default} alt="CPU usage over time for the workload" />
- <figcaption>CPU Usage of the virtual machines in the workload over time.</figcaption>
-</figure>
-
-Instead, we could try to fit multiple virtual machines onto a single machine. For instance, the 2-core processor
-mentioned before is able to handle 70 virtual machines, each running at 100 MHz (`(3500 MHz x 2) / 100 MHz`), ignoring
-virtualization overhead and memory requirements.
-
-:::note Action
-
-Make a rough estimate of the number of physical cores required to host the vCPUs in the workload trace.
-
-:::
-
-Now that we have an indication of the number of physical cores we need to have, we can start to compose the servers in
-our datacenter. See **Table 1 and 2** for the equipment list you can choose from. Don’t forget to put enough memory in your
-servers, or otherwise you risk that not all virtual machines will fit on the servers in your datacenter.
-
-| Processor | Intel® Xeon® E-2224G | Intel® Xeon® E-2244G | Intel® Xeon® E-2246G |
-|----------------------------------|----------------------|----------------------|----------------------|
-| Base clock (in MHz) | 3500 | 3800 | 3600 |
-| Core count | 4 | 8 | 12 |
-| Average power consumption (in W) | 71 | 71 | 80 |
-
-**Table 1:** Processor options for your datacenter
-
-
-| Memory module | Crucial MTA9ASF2G72PZ-3G2E | Crucial MTA18ASF4G72PDZ-3G2E1 |
-|----------------------------------|----------------------------|-------------------------------|
-| Size (in GB) | 16 | 32 |
-| Speed (in MHZ) | 3200 | 3200 |
-**Table 2:** Memory options for your datacenter
-
-
-:::note Action
-
-Create a plan detailing the servers you want to have in your datacenter and what resources (e.g. processor or memory)
-they should contain. For instance, such a plan could look like:
-
-1. 8x Server (2x Intel® Xeon® E-2244G, 4x Crucial MTA18ASF4G72PDZ-3G2E1)
-
-:::
-
-:::tip Hint
-
-Budget more capacity than your initial estimates to prevent your datacenter from running at a very high
-utilization. Think about how your datacenter would handle a machine failure, will you still have enough capacity left?
-
-:::
-
-## Build the datacenter
-
-Based on the plan we devised in the previous section, we will now construct a (virtual) datacenter in OpenDC. If you
-have not yet used the OpenDC web interface to design a datacenter, please read [Getting Started](/docs/category/getting-started)
-guide to get an understanding of the main concepts of OpenDC and how to design a datacenter.
-
-:::note Action
-
-Implement your plan in the OpenDC web interface.
-
-:::
-
-## Validate your design
-
-We are now at a stage where we can validate whether the datacenter we have just designed and built in OpenDC is suitable
-for the workload of the client. We will use OpenDC to simulate the workload in our datacenter and keep track of several
-metrics to ensure efficient and reliable operation.
-
-One of our concerns is that our datacenter does not have enough computing power to deal with the client’s
-business-critical workload, leading to degraded performance and consequently an unhappy client.
-
-A metric that gives us an insight in performance degradation is the Overcommitted CPU Cycles, which represents the
-number of CPU cycles that a virtual machine wanted to run, but could not due to the host machine not having enough
-computing capacity at that moment. To keep track of this metric during simulation, we create a new portfolio by clicking
-the ‘+’ next to “Portfolio” in the left sidebar and select the metrics of interest.
-
-:::note Action
-
-Add a new portfolio and select at least the following targets:
-1. Overcommitted CPU Cycles
-2. Granted CPU Cycles
-3. Requested CPU Cycles
-4. Maximum Number VMs Finished
-
-:::
-
-We will now try to simulate the client’s workload trace (called _Bitbrains (Sample)_ in OpenDC). By clicking on ‘New
-Scenario’ below your created portfolio, we can create a base scenario which will represent our baseline datacenter
-design which we will compare against future improvements.
-
-:::note Action
-
-Add a base scenario to your new portfolio and select as trace _Bitbrains (Sample)_.
-
-:::
-
-By creating a new scenario, you will schedule a simulation of your datacenter design that will run on one of the OpenDC
-simulation servers. Press the Play button next to your portfolio to see the results of the simulations. If you have
-chosen the _Bitbrains (Sample)_ trace, the results should usually appear within one minute or less depending on the queue
-size. In case they do not appear within a reasonable timeframe, please contact the instructors.
-
-You can now see how your design has performed. Check whether all virtual machines have finished and whether the
-_Overcommitted CPU Cycles_ metric is not too high. Try to aim for anything below 1 bn cycles. In the next section, we’ll
-try to further optimize our design. For now, think of an explanation for the performance of your design.
-
-## Optimize your design
-
-Finally, let’s try to optimize your design so that it meets the requirements of the client and is beneficial for your
-employer as well. In particular, your company is interested in the follow goals:
-
-1. Reducing _Overcommitted CPU Cycles_ to a minimum for reliability.
-2. Reducing _Total Power Consumption_ to a minimum to save energy costs.
-
-:::note Action
-
-Add a new portfolio and select at least the following targets:
-1. Overcommitted CPU Cycles
-2. Granted CPU Cycles
-3. Requested CPU Cycles
-4. Total Power Consumption
-
-Then, add a base scenario to your new portfolio and select as trace _Bitbrains (Sample)_.
-
-:::
-
-Try to think of ways in which you can reduce both _Overcommitted CPU Cycles_ and _Total Power Consumption_. Create a new
-topology based on your initial topology and apply the changes you have come up with. In this way, you can easily compare
-the performance of different topologies in different scenarios. Note that the choice of scheduler might also influence
-your results.
-
-:::tip Hint
-
-The choice of scheduler (and thus the placement of VMs) might also influence your results.
-
-:::
-
-
-:::note Action
-
-1. Create a new topology based on your existing topology.
-2. Add a new scenario to your created portfolio and select your newly created topology.
-3. Compare the results against the base scenario.
-
-:::
-
-Repeat this approach until you are satisfied with your design.
-
-## Epilogue
-
-In this tutorial, you should have learned briefly about what datacenters are, and the process of designing and
-optimizing a datacenter yourself. If you have any feedback (positive or negative) about your experience using OpenDC
-during this tutorial, please let us know!
diff --git a/site/old_files/old_tutorials/0-installation.md b/site/old_files/old_tutorials/0-installation.md
deleted file mode 100644
index 281e811f..00000000
--- a/site/old_files/old_tutorials/0-installation.md
+++ /dev/null
@@ -1,31 +0,0 @@
----
-description: How to install OpenDC locally, and start experimenting in no time.
----
-
-# Installation
-
-This page describes how to set up and configure a local single-user OpenDC installation so that you can quickly get your
-experiments running. You can also use the [hosted version of OpenDC](https://app.opendc.org) to get started even
-quicker (The web server is however missing some more complex features).
-
-
-## Prerequisites
-
-1. **Supported Platforms**
- OpenDC is actively tested on Windows, macOS and GNU/Linux.
-2. **Required Software**
- A Java installation of version 19 or higher is required for OpenDC. You may download the
- [Java distribution from Oracle](https://www.oracle.com/java/technologies/downloads/) or use the distribution provided
- by your package manager.
-
-## Download
-
-To get an OpenDC distribution, download a recent version from our [Releases](https://github.com/atlarge-research/opendc/releases) page on GitHub.
-For basic usage, the OpenDCExperimentRunner is all that is needed.
-
-## Setup
-
-Unpack the downloaded OpenDC distribution. Opening OpenDCExperimentRunner results in two folders, `bin` and `lib`.
-`lib` contains all `.jar` files needed to run OpenDC. `bin` two executable versions of the OpenDCExperimentRunner.
-In the following pages, we discuss how to run an experiment using the executables.
-
diff --git a/site/old_files/old_tutorials/1-design.mdx b/site/old_files/old_tutorials/1-design.mdx
deleted file mode 100644
index e8ab2c58..00000000
--- a/site/old_files/old_tutorials/1-design.mdx
+++ /dev/null
@@ -1,154 +0,0 @@
----
-description: How to design a virtual datacenter in OpenDC from scratch.
----
-
-# Design a Datacenter
-
-Now that you have installed OpenDC (or are using the hosted version), we will start designing a (virtual) datacenter
-in OpenDC.
-
-## Before we start
-
-There are a couple of steps we need to perform before we can start designing a datacenter in OpenDC. First, we need to
-enter the OpenDC web application. This done as follows:
-
-<div className="container">
- <div className="row">
- <div className="col col--6">
- <div className="card">
- <div className="card__body">
- <h4>Hosted Deployment</h4>
- <small>
- To enter the hosted version of OpenDC, you need a user account. User management is provided
- by <a href="https://auth0.com">Auth0</a>, which allows you to login with social accounts or via
- email.
- </small>
- </div>
- <div className="card__footer">
- <a href="https://app.opendc.org" className="button button--primary button--block">Login to OpenDC</a>
- </div>
- </div>
- </div>
- <div className="col col--6">
- <div className="card">
- <div className="card__body">
- <h4>Local Deployment</h4>
- <small>
- The local distribution of OpenDC runs in single-user mode by default, which does not require
- authentication. This allows you to quickly start designing and experimenting with new
- datacenters.
- </small>
- </div>
- <div className="card__footer">
- <a href="http://localhost:8080" className="button button--secondary button--block">Launch OpenDC (local)</a>
- </div>
- </div>
- </div>
- </div>
-</div>
-
-### Create a Project
-
-Next, we need to create a new project. Projects allow you to organize your designs and experiments together.
-Click on ‘+ New Project’ in the right corner to open the project creation dialog.
-Give your project a name and save it. You can now open it by clicking on it in the project table. If all went well,
-you’re redirected to your new project, and are presented with an empty project overview.
-
-### Create a Topology
-
-In OpenDC, the datacenter design is also called a **topology**. This topology represents the physical layout of a
-datacenter and specifies everything from the architectural layout of the datacenter’s rooms to which CPUs are in a
-particular machine.
-
-To create a design (topology), click on ‘+ New Topology’ in the top right corner of the topology table.
-Once you have created the topology, it will appear the topology table. By clicking on the topology, you will be
-redirected to a (still empty) overview of the topology. From here, we'll start designing a datacenter.
-
-### Terminology
-
-Here’s an overview of some of the language you’ll find when designing a datacenter in OpenDC:
-
-- **Topology**: the physical layout of your datacenter
-- **Room**: a room in the datacenter
-- **Tile**: one of the tiles that forms a room
-- **Rack**: a rack of servers that stands on top of a tile
-- **Machine**: a machine that takes up a single slot in a server rack, containing several components such as CPUs, GPUs,
- network interfaces and storage drives.
-
-## Build the datacenter
-
-Open the project and topology that you have created and click on the 'Floor Plan' tab (see [Figure 1](#floor-plan)).
-We’re now in datacenter construction mode. Notice the grid on the canvas? That’s where you’ll place tiles, in order to
-build rooms. Let’s take a moment to familiarize ourselves with the interface.
-
-If you dismiss the sidebar on your left, you have controls for zooming in and out. Next to the zooming buttons, you also
-have a ‘Screenshot’ button, in case you want to record the state of the canvas and export it to an image file. On the
-right side of the screen, you have the simHyperVisorContext menu. This menu changes depending on your zoom level.
-
-As there are currently no rooms, we are in ‘Building’ mode, and our only option is to ‘Construct a new room’. Click on
-that button to build a first datacenter room - once you’ve clicked on it, every tile of the canvas that you click on
-becomes a tile of that room. There is one restriction though: Each tile that you add must be adjacent to any previous
-tiles that you have added. You can see for yourself which tile positions are clickable through the highlight color that
-is shown on hovering over them.
-
-<figure className="figure" id="floor-plan">
- <img src={require("@site/src/components/HomepageFeatures/screenshot-construction.png").default} alt="Analysis of results reported by OpenDC" />
- <figcaption>The floor plan of a (virtual) datacenter in OpenDC.</figcaption>
-</figure>
-
-### Create a Room
-
-:::note Action
-
-Create at least a single room, with help of the above instructions.
-
-:::
-
-Once you’ve placed the tiles, you can give the room a name, if you want to. To do this, click on the room you want to
-edit. You’ll notice the application going into ‘Room’ mode, allowing you to manipulate the topology of the datacenter at
-a more fine-grained level. In the simHyperVisorContext menu, change the room name, and click on the ‘Save’ button. You can exit
-‘Room’ mode by clicking on any of the darkened areas outside of the selected room. This will bring you back to
-‘Building’ mode.
-
-### Place Server Racks
-
-:::note Action
-
-Add at least a single rack in the room.
-
-:::
-
-Empty rooms are of no use to the stakeholders of a datacenter. They want machines! Let’s place some racks in the room
-to fulfill this demand. Click on the room and add some racks. To stop adding racks, click on the blue element in the
-sidebar, again.
-
-### Fill the Racks with Servers
-
-:::note Action
-
-Add a couple of servers to the rack.
-
-:::
-
-To add actual servers to the empty racks, we’ll need to go one level deeper in the topological hierarchy of the
-datacenter. Clicking on a rack lets you do just that. Once you’ve clicked on it, you’ll notice the simHyperVisorContext menu now
-displaying slots. In each slot fits exactly one server unit. To add such a server unit, click on the ‘Add machine’
-button of that slot.
-Just like in ‘Room’ mode, you can exit ‘Rack’ mode by clicking on any of the darkened tiles around the currently
-selected rack.
-
-### Add Resources to the Servers
-
-We’re almost done creating our datacenter! The only problem we have is that the machines / servers we just added lack
-any real resources (such as CPUs, GPUs, memory cards, and disk storage).
-
-:::note Action
-
-Populate the machines with CPU and memory resources.
-
-:::
-
-To do this, click on any machine you want to edit. Notice the simHyperVisorContext menu changing, with tabs to add different kinds of
-units to your machine. Have a look around as to what can be added.
-
-Once you are satisfied with the datacenter design, we will experiment with the design in the next chapter.
diff --git a/site/old_files/old_tutorials/2-experiment.mdx b/site/old_files/old_tutorials/2-experiment.mdx
deleted file mode 100644
index 14970ea6..00000000
--- a/site/old_files/old_tutorials/2-experiment.mdx
+++ /dev/null
@@ -1,74 +0,0 @@
----
-description: How to experiment with your datacenter designs.
----
-
-# Create an Experiment
-
-After designing a datacenter in OpenDC, the next step is to experiment with the design using OpenDC's built-in
-simulator, in order to analyze its performance and compare it against other designs.
-
-In OpenDC, we use the concept of portfolios of scenarios to experiment with datacenter designs. In the next sections, we
-will explain how you can use these powerful concepts for the experimental analysis of your designs.
-
-## Create a Portfolio
-OpenDC organizes multiple scenarios (experiments) into a **portfolio**. Each portfolio is composed of a base scenario,
-a set of candidate scenarios given by the user and a set of targets (e.g., metrics) used to compare scenarios.
-
-To create a new portfolio, open a project in the OpenDC web interface and click on ‘+ New Portfolio’ in the top right
-corner of the portfolio table. This opens a modal with the following options:
-
-1. **Name**: the name of your portfolio.
-2. **Metrics**: the metrics that you want to use to compare the scenarios in the portfolio.
-3. **Repeats per Scenario**: the number of times each scenario should be simulated (to account for variance).
-
-## Create Scenarios
-
-A **scenario** represents a point in the datacenter design space that should be explored. It consists of a combination
-of workload, topology, and a set of operational phenomena. Phenomena can include correlated failures, performance
-variability, security breaches, etc., allowing the scenarios to more accurately capture the real-world operations.
-
-The baseline for comparison in a portfolio is the **base scenario**. It represents the status quo of the infrastructure
-or, when planning infrastructure from scratch, it consists of very simple base workloads and topologies.
-The other scenarios in a portfolio, called the **candidate scenarios**, represent changes to the configuration
-that might be of interest to the datacenter designer. Dividing scenarios into these two categories ensures that any
-comparative insights provided by OpenDC are meaningful within the simHyperVisorContext of the current architecture.
-
-To create a new scenario, open a portfolio in the OpenDC web interface and click on ‘+ New Scenario’ in the top right
-corner of the scenario table. This opens a modal with the following options (as shown in [Figure 1](#explore)):
-
-1. **Name**: the name of your scenario. The first scenario of a portfolio is always called the _Base scenario_.
-2. **Workload**: the applications (e.g., virtual machines, workflows, functions) that consume resources in your
- datacenter.
- 1. **Workload Trace**: A dataset that characterizes the historical runtime behavior of virtual machines in the
- workload over time.
- 2. **Load Sampling Fraction**: The percentage of the workload that should be simulated (e.g., 10% of virtual
- machines in the workload trace).
-3. **Environment**:
- 1. **Topology**: one of the topologies of the project to use for the scenario.
- 2. **Scheduler**: the algorithm that decides on which hosts the virtual machines should be placed.
-4. **Operational Phenomena**:
- 1. **Failures**: a flag to enable stochastic host failures during simulation.
- 2. **Performance interference**: a flag to enable performance interference between virtual machines (only available
- for a subset of traces).
-
-Once you have created the scenario, it will be enqueued for simulation. Usually the results of the simulation should be
-available within one minute after creation. However, if there are lots of queued simulation jobs, it might take a bit
-longer.
-
-<figure className="figure" id="explore">
- <img src={require("@site/src/components/HomepageFeatures/screenshot-explore.png").default} alt="Creating a new scenario in OpenDC" />
- <figcaption>Creating a new scenario in OpenDC. The user can select the topology, workload, and operational phenomena.</figcaption>
-</figure>
-
-## Analyze Results
-
-After creating scenarios, the scenario table will show whether the simulation is still pending, completed successfully,
-or failed for some reason. If the scenario was simulated successfully, its results will become visible on the ‘Results’
-tab as shown in [Figure 2](#analysis).
-
-<figure className="figure" id="analysis">
- <img src={require("@site/src/components/HomepageFeatures/screenshot-results.png").default} alt="Analysis of results reported by OpenDC" />
- <figcaption>Plots and visual summaries generated by OpenDC comparing different scenarios.</figcaption>
-</figure>
-
-This tab will show the selected metrics for the portfolio and allow you to compare their values for different scenarios.
diff --git a/site/old_files/old_tutorials/3-whats-next.md b/site/old_files/old_tutorials/3-whats-next.md
deleted file mode 100644
index 7c021119..00000000
--- a/site/old_files/old_tutorials/3-whats-next.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-description: How to supercharge your designs and experiments with OpenDC.
----
-
-# What's next?
-
-Congratulations! You have just learned how to design and experiment with a (virtual) datacenter in OpenDC. What's next?
-
-- Follow one of the [tutorials](/docs/category/tutorials) using OpenDC.
-- Check the [advanced guides](/docs/category/advanced-guides) for more complex material.
-- Read about [existing work using OpenDC](/community/research).
-- Get involved in the [OpenDC Community](/community/support).
diff --git a/site/old_files/old_tutorials/_category_.json b/site/old_files/old_tutorials/_category_.json
deleted file mode 100644
index 169f7a27..00000000
--- a/site/old_files/old_tutorials/_category_.json
+++ /dev/null
@@ -1,8 +0,0 @@
-{
- "label": "Getting Started",
- "position": 2,
- "link": {
- "type": "generated-index",
- "description": "10 minutes to learn the most important concepts of OpenDC."
- }
-}
diff --git a/site/package-lock.json b/site/package-lock.json
deleted file mode 100644
index ac2a0e1a..00000000
--- a/site/package-lock.json
+++ /dev/null
@@ -1,12513 +0,0 @@
-{
- "name": "opendc-docs",
- "version": "2.1.0",
- "lockfileVersion": 3,
- "requires": true,
- "packages": {
- "": {
- "name": "opendc-docs",
- "version": "2.1.0",
- "dependencies": {
- "@docusaurus/core": "^2.3.1",
- "@docusaurus/preset-classic": "^2.3.1",
- "@mdx-js/react": "^1.6.22",
- "clsx": "^1.2.1",
- "prism-react-renderer": "^1.3.5",
- "react": "^17.0.2",
- "react-dom": "^17.0.2"
- },
- "devDependencies": {
- "@docusaurus/module-type-aliases": "^2.1.0",
- "prettier": "^2.7.1"
- },
- "engines": {
- "node": ">=16.14"
- }
- },
- "node_modules/@algolia/autocomplete-core": {
- "version": "1.7.4",
- "resolved": "https://registry.npmjs.org/@algolia/autocomplete-core/-/autocomplete-core-1.7.4.tgz",
- "integrity": "sha512-daoLpQ3ps/VTMRZDEBfU8ixXd+amZcNJ4QSP3IERGyzqnL5Ch8uSRFt/4G8pUvW9c3o6GA4vtVv4I4lmnkdXyg==",
- "dependencies": {
- "@algolia/autocomplete-shared": "1.7.4"
- }
- },
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diff --git a/site/package.json b/site/package.json
deleted file mode 100644
index 842df570..00000000
--- a/site/package.json
+++ /dev/null
@@ -1,45 +0,0 @@
-{
- "name": "opendc-docs",
- "version": "2.1.0",
- "private": true,
- "scripts": {
- "docusaurus": "docusaurus",
- "start": "docusaurus start",
- "build": "docusaurus build",
- "swizzle": "docusaurus swizzle",
- "deploy": "docusaurus deploy",
- "clear": "docusaurus clear",
- "serve": "docusaurus serve",
- "write-translations": "docusaurus write-translations",
- "write-heading-ids": "docusaurus write-heading-ids",
- "format": "prettier --write src"
- },
- "dependencies": {
- "@docusaurus/core": "^2.3.1",
- "@docusaurus/preset-classic": "^2.3.1",
- "@mdx-js/react": "^1.6.22",
- "clsx": "^1.2.1",
- "prism-react-renderer": "^1.3.5",
- "react": "^17.0.2",
- "react-dom": "^17.0.2"
- },
- "devDependencies": {
- "@docusaurus/module-type-aliases": "^2.1.0",
- "prettier": "^2.7.1"
- },
- "browserslist": {
- "production": [
- ">0.5%",
- "not dead",
- "not op_mini all"
- ],
- "development": [
- "last 1 chrome version",
- "last 1 firefox version",
- "last 1 safari version"
- ]
- },
- "engines": {
- "node": ">=16.14"
- }
-}
diff --git a/site/sidebars.js b/site/sidebars.js
deleted file mode 100644
index ecde7c8f..00000000
--- a/site/sidebars.js
+++ /dev/null
@@ -1,9 +0,0 @@
-// @ts-check
-
-/** @type {import('@docusaurus/plugin-content-docs').SidebarsConfig} */
-const sidebars = {
- // By default, Docusaurus generates a sidebar from the docs folder structure
- docsSidebar: [{type: 'autogenerated', dirName: '.'}],
-};
-
-module.exports = sidebars;
diff --git a/site/src/components/HomepageFeatures/index.js b/site/src/components/HomepageFeatures/index.js
deleted file mode 100644
index 5beee68d..00000000
--- a/site/src/components/HomepageFeatures/index.js
+++ /dev/null
@@ -1,71 +0,0 @@
-import React from 'react'
-import clsx from 'clsx'
-import styles from './styles.module.css'
-
-const FeatureList = [
- {
- title: 'Easy to Use',
- Svg: () => <img src={require('./screenshot-construction.png').default} alt="Building a datacenter in OpenDC" />,
- description: (
- <>
- OpenDC is designed from the ground up to be easily installed and used via its online interface to get
- your experiments running quickly.
- </>
- ),
- },
- {
- title: 'Versatile Models',
- Svg: () => (
- <img src={require('./screenshot-explore.png').default} alt="Explore alternative scenarios with OpenDC" />
- ),
- description: (
- <>
- Explore scenarios around emerging datacenter technologies such as <em>cloud computing</em>,{' '}
- <em>serverless computing</em>, <em>big data</em>, and <em>machine learning</em>.
- </>
- ),
- },
- {
- title: 'Simplified Analysis',
- Svg: () => (
- <img
- src={require('./screenshot-results.png').default}
- alt="Automated plots and visual summaries generated by OpenDC"
- />
- ),
- description: (
- <>
- Investigate datacenter performance using the automated plots and visual summaries provided
- out-of-the-box by OpenDC.
- </>
- ),
- },
-]
-
-function Feature({ Svg, title, description }) {
- return (
- <div className={clsx('col col--4')}>
- <div className="text--center">
- <Svg className={styles.featureSvg} role="img" />
- </div>
- <div className="text--center padding-horiz--md">
- <h3>{title}</h3>
- <p>{description}</p>
- </div>
- </div>
- )
-}
-
-export default function HomepageFeatures() {
- return (
- <section className={styles.features}>
- <div className="container">
- <div className="row">
- {FeatureList.map((props, idx) => (
- <Feature key={idx} {...props} />
- ))}
- </div>
- </div>
- </section>
- )
-}
diff --git a/site/src/components/HomepageFeatures/screenshot-construction.png b/site/src/components/HomepageFeatures/screenshot-construction.png
deleted file mode 100644
index 8e26526b..00000000
--- a/site/src/components/HomepageFeatures/screenshot-construction.png
+++ /dev/null
Binary files differ
diff --git a/site/src/components/HomepageFeatures/screenshot-explore.png b/site/src/components/HomepageFeatures/screenshot-explore.png
deleted file mode 100644
index 307aaa1f..00000000
--- a/site/src/components/HomepageFeatures/screenshot-explore.png
+++ /dev/null
Binary files differ
diff --git a/site/src/components/HomepageFeatures/screenshot-results.png b/site/src/components/HomepageFeatures/screenshot-results.png
deleted file mode 100644
index f7e5858a..00000000
--- a/site/src/components/HomepageFeatures/screenshot-results.png
+++ /dev/null
Binary files differ
diff --git a/site/src/components/HomepageFeatures/styles.module.css b/site/src/components/HomepageFeatures/styles.module.css
deleted file mode 100644
index 509d8c75..00000000
--- a/site/src/components/HomepageFeatures/styles.module.css
+++ /dev/null
@@ -1,11 +0,0 @@
-.features {
- display: flex;
- align-items: center;
- padding: 2rem 0;
- width: 100%;
-}
-
-.featureSvg {
- height: 200px;
- width: 200px;
-}
diff --git a/site/src/components/HomepageIntro/index.js b/site/src/components/HomepageIntro/index.js
deleted file mode 100644
index 33df7256..00000000
--- a/site/src/components/HomepageIntro/index.js
+++ /dev/null
@@ -1,57 +0,0 @@
-/*
- * Copyright (c) 2022 AtLarge Research
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to deal
- * in the Software without restriction, including without limitation the rights
- * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
- * copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-
-import clsx from 'clsx'
-import React from 'react'
-
-import styles from './styles.module.css'
-import DatacenterImage from '@site/static/img/datacenter-drawing.png'
-
-export default function HomepageInto() {
- return (
- <section id="intro" className={styles.intro}>
- <div className="container padding-vert--lg">
- <div className="row">
- <div className={clsx('col col--4', styles.textCol)}>
- <h3>The datacenter (DC) industry...</h3>
- <ul>
- <li>Is worth over $200 bn, and growing</li>
- <li>Has many hard-to-grasp concepts</li>
- <li>Needs to become accessible to many</li>
- </ul>
- </div>
- <div className="col col--3 text--center">
- <img src={DatacenterImage} alt="Schematic top-down view of a datacenter" />
- </div>
- <div className={clsx('col col--4', styles.textCol)}>
- <h3>OpenDC provides...</h3>
- <ul>
- <li>Online cloud DC modeling</li>
- <li>Diverse and effective DC simulation</li>
- <li>Rapid exploratory DC feedback</li>
- </ul>
- </div>
- </div>
- </div>
- </section>
- )
-}
diff --git a/site/src/components/HomepageIntro/styles.module.css b/site/src/components/HomepageIntro/styles.module.css
deleted file mode 100644
index 53c6f1bb..00000000
--- a/site/src/components/HomepageIntro/styles.module.css
+++ /dev/null
@@ -1,34 +0,0 @@
-/*
- * Copyright (c) 2022 AtLarge Research
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to deal
- * in the Software without restriction, including without limitation the rights
- * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
- * copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-
-.intro {
- background: var(--ifm-color-emphasis-100);
-}
-
-.intro > :global(.container) > :global(.row) {
- justify-content: center;
-}
-
-.textCol {
- align-self: center;
- max-width: 350px;
-}
diff --git a/site/src/components/TeamMembers/index.js b/site/src/components/TeamMembers/index.js
deleted file mode 100644
index 70ea675c..00000000
--- a/site/src/components/TeamMembers/index.js
+++ /dev/null
@@ -1,150 +0,0 @@
-/*
- * Copyright (c) 2022 AtLarge Research
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to deal
- * in the Software without restriction, including without limitation the rights
- * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
- * copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-
-import React from 'react'
-import clsx from 'clsx'
-
-import styles from './styles.module.css'
-
-const leads = [
- {
- name: 'Prof.dr.ir. Alexandru Iosup',
- title: 'Project Lead',
- avatar: 'https://www.atlarge-research.com/images/people/aiosup_large.png',
- url: 'https://www.atlarge-research.com/aiosup/',
- },
- {
- name: 'Dante Niewenhuis',
- title: 'Technology Lead',
- avatar: "https://www.atlarge-research.com/images/people/dniewenhuis_large.png",
- url: 'https://www.atlarge-research.com/dniewenhuis/',
- },
- {
- name: 'Fabian Mastenbroek',
- title: 'Technology Lead (2020-2022)',
- avatar: 'https://www.atlarge-research.com/images/people/fmastenbroek_large.png',
- url: 'https://www.atlarge-research.com/fmastenbroek/',
- },
- {
- name: 'Georgios Andreadis',
- title: 'Former Technology Lead (2018-2020)',
- avatar: 'https://www.atlarge-research.com/images/people/gandreadis_large.png',
- url: 'https://www.atlarge-research.com/gandreadis/',
- },
- {
- name: 'Vincent van Beek',
- title: 'Former Technology Lead (2017-2018)',
- avatar: 'https://www.atlarge-research.com/images/people/vvanbeek_large.png',
- url: 'https://www.atlarge-research.com/vvanbeek/',
- },
-]
-
-const members = [
- {
- name: 'Matthijs Bijman',
- avatar: 'https://www.atlarge-research.com/images/people/mbijman_large.png',
- url: 'https://www.atlarge-research.com/mbijman/',
- },
- {
- name: 'Jaro Bosch',
- avatar: 'https://www.atlarge-research.com/images/people/jbosch_large.png',
- url: 'https://www.atlarge-research.com/jbosch/',
- },
- {
- name: 'Jacob Burley',
- avatar: 'https://www.atlarge-research.com/images/people/jburley_large.png',
- url: 'https://www.atlarge-research.com/jburley/',
- },
- {
- name: 'Erwin van Eyk',
- avatar: 'https://www.atlarge-research.com/images/people/evaneyk_large.png',
- url: 'https://www.atlarge-research.com/evaneyk/',
- },
- {
- name: 'Hongyu He',
- avatar: 'https://www.atlarge-research.com/images/people/hhe_large.png',
- url: 'https://www.atlarge-research.com/hhe/',
- },
- {
- name: 'Soufiane Jounaid',
- avatar: 'https://www.atlarge-research.com/images/people/sjounaid_large.png',
- url: 'https://www.atlarge-research.com/sjounaid/',
- },
- {
- name: 'Wenchen Lai',
- avatar: 'https://www.atlarge-research.com/images/people/wlai_large.png',
- url: 'https://www.atlarge-research.com/wlai/',
- },
- {
- name: 'Leon Overweel',
- avatar: 'https://www.atlarge-research.com/images/people/loverweel_large.png',
- url: 'https://www.atlarge-research.com/loverweel/',
- },
-
- {
- name: 'Sacheendra Talluri',
- avatar: 'https://www.atlarge-research.com/images/people/stalluri_large.png',
- url: 'https://www.atlarge-research.com/stalluri/',
- },
- {
- name: 'Laurens Versluis',
- avatar: 'https://www.atlarge-research.com/images/people/lfdversluis_large.png',
- url: 'https://www.atlarge-research.com/lfdversluis/',
- },
-]
-
-function TeamMember({ className, name, title, avatar, url, size = 'lg' }) {
- return (
- <div className={clsx('avatar avatar--vertical', styles.member, className)}>
- <a className={`avatar__photo-link avatar__photo avatar__photo--${size}`} href={url}>
- <img alt={`${name} Profile`} src={avatar} />
- </a>
- <div className={clsx(styles.memberIntro, 'avatar__intro')}>
- <div className="avatar__name">{name}</div>
- {title && <small className="avatar__subtitle">{title}</small>}
- </div>
- </div>
- )
-}
-
-export default function TeamMembers() {
- return (
- <div className="container">
- <div className={clsx(styles.members, 'row')}>
- {leads.map(({ name, title, avatar, url }) => (
- <TeamMember
- key={name}
- className="col col--3"
- name={name}
- title={title}
- avatar={avatar}
- url={url}
- size="xl"
- />
- ))}
- {members.map(({ name, avatar, url }) => (
- <TeamMember key={name} className="col col--2" name={name} avatar={avatar} url={url} />
- ))}
- </div>
- </div>
- )
-}
diff --git a/site/src/components/TeamMembers/styles.module.css b/site/src/components/TeamMembers/styles.module.css
deleted file mode 100644
index 34d9135d..00000000
--- a/site/src/components/TeamMembers/styles.module.css
+++ /dev/null
@@ -1,38 +0,0 @@
-/*
- * Copyright (c) 2022 AtLarge Research
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to deal
- * in the Software without restriction, including without limitation the rights
- * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
- * copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-
-.members {
- justify-content: center;
-}
-
-.member {
- padding: 0.5em;
-}
-
-.memberIntro {
- justify-content: normal;
- margin-top: 0.5em;
-}
-
-.memberIntro > :global(.avatar__subtitle) {
- max-width: 155px;
-}
diff --git a/site/src/css/custom.css b/site/src/css/custom.css
deleted file mode 100644
index 7eccfb04..00000000
--- a/site/src/css/custom.css
+++ /dev/null
@@ -1,46 +0,0 @@
-:root {
- --ifm-code-font-size: 95%;
- --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.1);
-
- counter-reset: figure-counter;
-}
-
-[data-theme='dark'] {
- --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.3);
-}
-
-.header-github-link:hover {
- opacity: 0.6;
-}
-
-.header-github-link::before {
- content: '';
- width: 24px;
- height: 24px;
- display: flex;
- background: url("data:image/svg+xml,%3Csvg viewBox='0 0 24 24' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12'/%3E%3C/svg%3E")
- no-repeat;
-}
-
-[data-theme='dark'] .header-github-link::before {
- background: url("data:image/svg+xml,%3Csvg viewBox='0 0 24 24' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill='white' d='M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12'/%3E%3C/svg%3E")
- no-repeat;
-}
-
-.header-app-link.navbar__item {
- color: var(--ifm-button-color);
- margin-top: 2px;
-}
-
-.header-app-link.navbar__item:hover {
- color: var(--ifm-button-color);
-}
-
-.figure {
- counter-increment: figure-counter;
-}
-
-.figure > figcaption:before {
- content: 'Figure ' counter(figure-counter) ': ';
- font-weight: bold;
-}
diff --git a/site/src/pages/index.js b/site/src/pages/index.js
deleted file mode 100644
index 9dd7457c..00000000
--- a/site/src/pages/index.js
+++ /dev/null
@@ -1,44 +0,0 @@
-import React from 'react'
-import clsx from 'clsx'
-import Link from '@docusaurus/Link'
-import useDocusaurusContext from '@docusaurus/useDocusaurusContext'
-import Layout from '@theme/Layout'
-import HomepageInto from '@site/src/components/HomepageIntro'
-import HomepageFeatures from '@site/src/components/HomepageFeatures'
-
-import styles from './index.module.css'
-import Logo from '@site/static/img/logo.svg'
-
-function HomepageHeader() {
- const { siteConfig } = useDocusaurusContext()
- return (
- <header className={clsx('hero hero--primary', styles.heroBanner)}>
- <div className="container">
- <h1 className="hero__title">{siteConfig.title}</h1>
- <p className="hero__subtitle">{siteConfig.tagline}</p>
- <Logo role="img" width="100" height="100" alt="OpenDC logo" className={styles.logo} />
- <div className={styles.buttons}>
- <Link className="button button--secondary button--lg" to="/docs/intro">
- Getting Started with OpenDC - 10min ⏱️
- </Link>
- </div>
- </div>
- </header>
- )
-}
-
-export default function Home() {
- const { siteConfig } = useDocusaurusContext()
- return (
- <Layout
- title={`${siteConfig.title} cloud datacenter simulator`}
- description="Collaborative Datacenter Simulation and Exploration for Everybody"
- >
- <HomepageHeader />
- <main>
- <HomepageInto />
- <HomepageFeatures />
- </main>
- </Layout>
- )
-}
diff --git a/site/src/pages/index.module.css b/site/src/pages/index.module.css
deleted file mode 100644
index 3838b4f5..00000000
--- a/site/src/pages/index.module.css
+++ /dev/null
@@ -1,22 +0,0 @@
-.heroBanner {
- padding: 4rem 0;
- text-align: center;
- position: relative;
- overflow: hidden;
-}
-
-@media screen and (max-width: 996px) {
- .heroBanner {
- padding: 2rem;
- }
-}
-
-.logo {
- margin: 0 0 var(--ifm-paragraph-margin-bottom);
-}
-
-.buttons {
- display: flex;
- align-items: center;
- justify-content: center;
-}
diff --git a/site/static/.nojekyll b/site/static/.nojekyll
deleted file mode 100644
index e69de29b..00000000
--- a/site/static/.nojekyll
+++ /dev/null
diff --git a/site/static/img/datacenter-drawing.png b/site/static/img/datacenter-drawing.png
deleted file mode 100644
index 401168e3..00000000
--- a/site/static/img/datacenter-drawing.png
+++ /dev/null
Binary files differ
diff --git a/site/static/img/failureModels.png b/site/static/img/failureModels.png
deleted file mode 100644
index 5ad3a85b..00000000
--- a/site/static/img/failureModels.png
+++ /dev/null
Binary files differ
diff --git a/site/static/img/favicon.ico b/site/static/img/favicon.ico
deleted file mode 100644
index c2f40a0d..00000000
--- a/site/static/img/favicon.ico
+++ /dev/null
Binary files differ
diff --git a/site/static/img/logo.svg b/site/static/img/logo.svg
deleted file mode 100644
index 5283a034..00000000
--- a/site/static/img/logo.svg
+++ /dev/null
@@ -1,191 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<!-- Created with Inkscape (http://www.inkscape.org/) -->
-
-<svg
- xmlns:dc="http://purl.org/dc/elements/1.1/"
- xmlns:cc="http://creativecommons.org/ns#"
- xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
- xmlns:svg="http://www.w3.org/2000/svg"
- xmlns="http://www.w3.org/2000/svg"
- xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
- xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
- width="4.3656249mm"
- height="5.4239674mm"
- viewBox="0 0 4.3656249 5.4239674"
- version="1.1"
- id="svg4738"
- inkscape:version="0.92.1 r15371"
- sodipodi:docname="opendc.svg">
- <defs
- id="defs4732" />
- <sodipodi:namedview
- id="base"
- pagecolor="#ffffff"
- bordercolor="#666666"
- borderopacity="1.0"
- inkscape:pageopacity="0.0"
- inkscape:pageshadow="2"
- inkscape:zoom="22.4"
- inkscape:cx="-5.0874286"
- inkscape:cy="6.401307"
- inkscape:document-units="mm"
- inkscape:current-layer="layer1"
- showgrid="false"
- inkscape:window-width="1920"
- inkscape:window-height="1027"
- inkscape:window-x="-8"
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- inkscape:window-maximized="1" />
- <metadata
- id="metadata4735">
- <rdf:RDF>
- <cc:Work
- rdf:about="">
- <dc:format>image/svg+xml</dc:format>
- <dc:type
- rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
- <dc:title></dc:title>
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