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* Added workflow_dispatch to all github Actions so they can be triggered from Github.com directly
* Add a pull to deploy.yml so it does not use the image from cache
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Github.com directly (#414)
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Fix maven
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* attempt to fix the maven publish step
* fix publishing to maven central
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* add a job report to the scenario overview with details and time data
* create Report data class
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(#404)
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* add configuration options for JOB_TIMEOUT, POLL_INTERVAL and HEARTBEAT_INTERVAL
* fix ./gradlew :opendc-web:opendc-web-runner:spotlessApply
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* remove test flags for disabling authentication
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remove test flags for disabling authentication
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* add a the posibility to import and export topogies in JSON format
* fix web-runner integration, there were several bugs and mismatches between new implementations in OpenDC and the UI
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* add prefabs for racks
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* refactor(web): Migrate to Quarkus 3
This commit updates the OpenDC web server to use Quarkus 3, which
changes annotations to use the Jakarta namespace for annotations.
* refactor(web): Configure runtime variables for web UI
This commit updates the web UI to propagate runtime variables via the
next-runtime-env package. Before, we would need to replace the variables
in the generated sources by Next.js, next-runtime-env works by loading a
JavaScript file when opening the OpenDC web UI which contains the
configuration of the web app.
* refactor(web): Migrate to Quarkus Quinoa
This commit updates the OpenDC web server to make use of Quarkus Quinoa
for serving the web UI. This allows us to deprecate the complex Quarkus
extension for serving the web UI.
* refactor(web): Move web UI into Quarkus web app
This commit moves the web UI into the Quarkus web server module to
ensure we follow Quarkus Quinoa's conventions.
* refactor(web): Merge Quarkus extension into single module
This commit merges the existing Quarkus extensions into a single module
to prevent build complexity.
* refactor(web): Migrate web proto to Java
This commit migrates the web protocol to Java and removes the dependency
on Jandex Gradle.
* refactor(web): Migrate to Quarkus 3
This commit updates the OpenDC web server to use Quarkus 3, which
changes annotations to use the Jakarta namespace for annotations.
* enable DB schema migration on DEV server
* webui is not needed anymore
* remove MAINTAINERS is depricated
* fix quarkus.quinoa properties
* revert properties change, install npm in docker image to allow building the frontend
* pin postgres version, this is a best practice. Fix some properties the old ones are depricated. Added properties for local testing
* fix build error
* :opendc-web:opendc-web-proto:spotlessApply
* fix database schema
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Co-authored-by: Fabian Mastenbroek <mail.fabianm@gmail.com>
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vlogic/add-feature-to-check-available-memory-on-simhosts
Refactor `SimHost` for improved memory tracking, error handling, and …
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state management.
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during runtime. (#386)
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* Fixed a small bug in the reading of workflows
* small update
* Pushing workload files needed for ExperimentCliTest 3
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* Updated the memory usage of Tasks. Still in Progress.
* Merged Task and ServiceTask -> Currently not fully working!!!
* Fixed bugs that made the merger between Task and ServiceTask not work well.
* Updated jdk version for Dockerfile
* Removed ServiceFlavor.java and Task.kt
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* Updated the UpDatedConsumer to boolean array
* Updated SimTraceWorkload to not invalidate when the next fragment is started.
* Removed as much invalidates as possible
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* Small update to the FLowDistributor
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faster. (#375)
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Updated FilterScheduler.kt for performance using a constantly sorted Array
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* Updated the flowDistributor to use arrays instead of maps to improve performance.
* Small cleanup
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FilterScheduler.kt (#372)
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* Updated FilterScheduler for performance
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* Updated the multi-resource system from maps to arrays for performance.
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* Updated the workflow system for performance. Added workflow specific tests.
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* Updated output format to reduce size
* using sum of gpu capacities instead of single max
* passing provisioned GPU cores to host view
* fix supply update trigger
* fixing floating point error, leading to negative demand
* fixing double mismatch, due to floating point in precision
* adding additional check if demand can be satisfied in the simple way
* adds workload invalidation if remaining duration for all resources is 0
* invalidating flow distributors after demand update
* spotless apply
* updating tests
* exporting power consumption of compute resources directly from gpu instead of PSU
* using big decimal to avoid floating point in-precision
* rolls back to pass-through version of PSU, before GPU implementation
* places flowdistributor between PSU and compute resources
* adds check to avoid null exception if supply is pushed without demand
* fixing task id type
* Adds memorizing GPU scheduler
* adds boundary for negative remaining work
* implemented tests for GPU scheduler filter
* Revert "Updated output format to reduce size"
This reverts commit 7171de8e0512a863df4962f64560ac7bad1fb48d.
* spotless aply
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Co-authored-by: DanteNiewenhuis <d.niewenhuis@hotmail.com>
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* Implemented Workflows for OpenDC
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(#342)
* renamed performance counter to distinguish different resource types
* added GPU, modelled similar to CPU
* added GPUs to machine model
* list of GPUs instead of single instance
* renamed memory speed to bandwidth
* enabled parsing of GPU resources
* split powermodel into cpu and GPU powermodel
* added gpu parsing tests
* added idea of host level scheduling
* added tests for multi gpu parsing
* renamed powermodel to cpupowermodel
* clarified naming of cpu and gpu components
* added resource type to flow suplier and edge
* added resourcetype
* added GPU components and resource type to fragments
* added GPU to workload and updated resource usage retrieval
* implemented first version of multi resource
* added name to workload
* renamed perfomance counters
* removed commented out code
* removed deprecated comments
* included demand and supply into calculations
* resolving rebase mismatches
* moved resource type from flowedge class to common package
* added available resources to machinees
* cleaner separation if workload is started of simmachine or vm
* Replaced exception with dedicated enum
* Only looping over resources that are actually used
* using hashmaps to handle resourcetype instead of arrays for readability
* fixed condition
* tracking finished workloads per resource type
* removed resource type from flowedge
* made supply and demand distribution resource specific
* added power model for GPU
* removed unused test setup
* removed depracated comments
* removed unused parameter
* added ID for GPU
* added GPUs and GPU performance counters (naively)
* implemented capturing of GPU statistics
* added reminders for future implementations
* renamed properties for better identification
* added capturing GPU statistics
* implemented first tests for GPUs
* unified access to performance counters
* added interface for general compute resource handling
* implemented multi resource support in simmachine
* added individual edge to VM per resource
* extended compute resource interface
* implemented multi-resource support in PSU
* implemented generic retrieval of computeresources
* implemented mult-resource suppport in vm
* made method use more resource specific
* implemented simple GPU tests
* rolled back frquency and demand use
* made naming independent of used resource
* using workloads resources instead of VMs to determine available resource
* implemented determination of used resources in workload
* removed logging statements
* implemented reading from workload
* fixed naming for host-level allocation
* fixed next deadline calculation
* fixed forwarding supply
* reduced memory footprint
* made GPU powermodel nullable
* maded Gpu powermodel configurable in topology
* implemented tests for basic gpu scheduler
* added gpu properties
* implemented weights, filter and simple cpu-gpu scheduler
* spotless apply
* spotless apply pt. 2
* fixed capitalization
* spotless kotlin run
* implemented coloumn export
* todo update
* removed code comments
* Merged PerformanceCounter classes into one & removed interface
* removed GPU specific powermodel
* Rebase master: kept both versions of TopologyFactories
* renamed CpuPowermodel to resource independent Powermodel
Moved it from Cpu package to power package
* implementated default of getResourceType & removed overrides if possible
* split getResourceType into Consumer and Supplier
* added power as resource type
* reduced supply demand from arrayList to single value
* combining GPUs into one large GPU, until full multi-gpu support
* merged distribution policy enum with corresponding factory
* added comment
* post-rebase fixes
* aligned naming
* Added GPU metrics to task output
* Updates power resource type to uppercase.
Standardizes the `ResourceType.Power` enum to `ResourceType.POWER`
for consistency with other resource types and improved readability.
* Removes deprecated test assertions
Removes commented-out assertions in GPU tests.
These assertions are no longer needed and clutter the test code.
* Renames MaxMinFairnessStrategy to Policy
Renames MaxMinFairnessStrategy to MaxMinFairnessPolicy for
clarity and consistency with naming conventions. This change
affects the factory and distributor to use the updated name.
* applies spotless
* nulls GPUs as it is not used
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