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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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faster. (#375)
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Updated FilterScheduler.kt for performance using a constantly sorted Array
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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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* Updated website documentation
* Updated some documentation and fixed links
* small updates
* small updates
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* Separate timeshift into an interface and add it to memorizing
* Run spotless apply
* Remove random from memorizing sched test
* Record time on task termination
* spotless apply
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* Remove task from scheduler bookkeeping after failure
* Support carbon forecasting in timeshift
* Register scheduler and carbonmodel in context
* Preliminary working task stopping; carbon intensity bug
* Working carbon based stop. Two timeshift thresholds
* Add a pause state task and guest
* Move task stopper to allocation spec
* Start tracking num pauses
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* Start time shifting
* Existing experiments work with new columns
* Remove unused traces dir
* Update java to 21 LTS and jacoco to be compatible
* Minimal working timeshifting
* Timeshift scheduler linked as carbon receiver
* Add basic tests for timeshift scheduler
* Run spotless apply
* Modify tarce format tests to support new fields
* Change all mentions of java 19 to 21
* Add a deferAll option to workload to make all tasks deferrable
* Run spotless apply
* Copy traces from resources in web dockerfile
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* Added the option to select which files to export.
* Updated documentation
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* Updated logging
* removed DoubleThresholdBatteryPolicy.java
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* Added maxCpuDemand to TraceWorkload, don't know if this will be needed so might remove later.
Updated SimTraceWorkload to properly handle creating checkpoints
Fixed a bug with the updatedConsumers in the FlowDistributor
Implemented a first version of scaling the runtime of fragments.
* small update
* updated tests to reflect the changes in the checkpointing model
* Updated the checkpointing tests to reflect the changes made
* updated wrapper-validation-action
* Applied spotless
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* Added sampleFraction and submissionTime to the workloadSpec
* Removed commented code
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new workload types are added (#294)
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* Added startPoint to TraceBasedFailureModel.kt, this decides where in the trace, the model should start. Added repeat to TraceBasedFailureModel.kt. This decides if the trace should be repeated when finished
* spotless applied
* Fixed some issues with the failure shuffling
* applied spotless
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* Updated a lot of documentation, added a new get-started tutorial.
* Applied Spotless
* Applied Spotless Java
* Added bitbrains workload to site
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finished (#259)
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* Removed unused components. Updated tests.
Improved checkpointing model
Improved model, started with SimPowerSource
implemented FailureModels and Checkpointing
First working version
midway commit
first update
All simulation are now run with a single CPU and single MemoryUnit. multi CPUs are combined into one. This is for performance and explainability.
* fixed merge conflicts
* Updated M3SA paths.
* Fixed small typo
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* (feat) demo files are now ignored
* integrating m3sa changes with opendc
* gitignore ignores demo
* m3sa linked, tested, works 🎉🎆
* linting & checks fully pass
* m3sa documentation (re...)added
* package.json added, a potentail solution for Build Docker Images workflow
* (fix) opendc-m3sa renamed to opendc-experiments-m3sa
* (feat) Model is now a dataclass
* (fix) package and package-lock reverted as before the PR, now they mirror the opendc master branch
* (fix) Experiments renamed to experiment
* branch updated with changes from master branch
* trying to fix the build docker image failed workflow
* trying to fix the build docker image failed workflow
* All simulation are now run with a single CPU and single MemoryUnit. multi CPUs are combined into one. This is for performance and explainability. (#255) (#37)
Co-authored-by: Dante Niewenhuis <d.niewenhuis@hotmail.com>
* All simulation are now run with a single CPU and single MemoryUnit. multi CPUs are combined into one. This is for performance and explainability. (#255) (#38)
Co-authored-by: Dante Niewenhuis <d.niewenhuis@hotmail.com>
* All simulation are now run with a single CPU and single MemoryUnit. multi CPUs are combined into one. This is for performance and explainability. (#255) (#39)
Co-authored-by: Dante Niewenhuis <d.niewenhuis@hotmail.com>
* [TEMP](feat) m3saCli decoupled from experimentCli
* spotless and minor refactoring
* (feat)[TEMP] decoupling m3sa from experiment
* spotless applied
* documentation resolved
* requirements.txt added
* path to M3SA is now provided as a parameter to M3SACLI
* spotless applied
* (fix) python environment variables solved, output analysis folder solved
* documentation changed and matching the master branch doc
* package-lock reverted
* package-lock reverted
---------
Co-authored-by: Dante Niewenhuis <d.niewenhuis@hotmail.com>
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* Added a max failure for tasks. If tasks fail more times, they get cancelled
* Added maxNumFailures to the frontend
* Updated tests
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* Updated the checkpointing system to use SimTrace. The checkpoint model can now also scale, which means the interval between checkpoints can increase or decrease over time.
* spotless kotlin
* Fixed tests
* spotless apply
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An experiment is a set of Scenarios. (#247)
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* Updated SimTrace to use a single ArrayDeque instead of three separate lists for deadline, cpuUsage, and coreCount
* Renamed input files to tasks.parquet and fragments.parquet. Renamed server to task. OpenDC nows exports tasks.parquet instead of server.parquet
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* Initial Push
* Refactored the cartesian implementation of ScenariosSpec.kt
* Fixed typo
* Some small updates
* ran spotless
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experiment-base. Renamed the distribution of experiment-base to OpenDCScenarioRunner (#236)
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* Fixed a problem which caused the CPU limit to be much lower than it should be.
AllocationPolicy is now properly exposed to the user
* Fixed tests
* spotless kotlin
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* unversioned demo - removed from git history
unversioned filed pushed
spotless applied
code cleaned up
commit before pr
spotless applied
setupOutputFolder moved before getting the scenarios
specific topology added
pretty tracking
given scenarios are kept track by id
code runnable
output name for scenario updated
python folder and src document connected
simulationOutputFolder structure prepared
base for python script integration in simulations
output contents into a folder defined by the simulation name
output contents into a folder defined by the simulation name
* bugs with trackr.json (id not showing) solved. outputting bug also solved (now we use the output folder indicated in scenario.json input file)
* spotless applied, ready for PR
* var -> val in Scenario
* ScenarioWriter package naming repaired
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into objects when the scenario is being executed by ScenarioRunner.kt (#227)
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* sync with the master branch
* rebase
* multimodel - simulation is currently run as many times as you can see a model
* factory method - handles models without given params
* removed redundant flags
* modelType
* flags removed
* implemented output into a folder
* multimodel ipynb setup - to be implemented and also ran as a python script, when the simulation occurs
* towards a mutimodel python implementation - issue observed - the saved files have same data?
* json parsing handles now lists for topology, workloads, allocaitonPolicies, powerModels
* scenarioFile inputs lists, and creates multiple combinations of scenarios
* multi-model prediction repaired, now we predict using multiple models
* commit before removing powerModel from scenario
* commit after removing powerModel from scenario
* commit after removing powerModel from scenario (and actually running)
* powermodels now can output their name and full name (with min and max)
* now we can select where to output (seed or output folder)
* input files - clear naming + output naming improved
* minimal changes
* all tests passing + json files from tests updated to the new json format
* json files from topology now accept only one power model (instead of list)
* json files from topology now accept only one power model (instead of list)
* multi and single input from tests updated to match the format
* tests passed locally
* spotless applies
* demo folder removed
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* Started with the carbon trace implementation
* Moved the carbon trace system to the proper folders
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* Initial commit
* Implemented a new systems of defining and running scenarios / portfolios. Scenarios and Portfolios can now be defined using JSON files similar to topologies. This allows user to define experiments without changing any KotLin code.
* Ran spotlessApply
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* Updated all package versions including kotlin. Updated all web-server tests to run.
* Changed the java version of the tests. OpenDC now only supports java 19.
* small update
* test update
* new update
* updated docker version to 19
* updated docker version to 19
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* removed experiment-compute and integrated all components into opendc-compute
* updated workflow gradle file
* removed unneeded code
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This change replaces the use of `CoroutineContext` for passing the
`SimulationDispatcher` across the different modules of OpenDC by the
lightweight `Dispatcher` interface of the OpenDC common module.
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This change updates the modules of OpenDC to always accept
the `InstantSource` interface as source of time. Previously we used
`java.time.Clock`, but this class is bound to a time zone which does not
make sense for our use-cases.
Since `java.time.Clock` implements `java.time.InstantSource`, it can be
used in places that require an `InstantSource` as parameter. Conversion
from `InstantSource` to `Clock` is also possible by invoking
`InstantSource#withZone`.
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