| Age | Commit message (Collapse) | Author |
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* Updated website documentation
* Updated some documentation and fixed links
* small updates
* small updates
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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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* some updates
* Updates
* Added comments and renamed variables
* Ran Spotless
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* Updated logging
* removed DoubleThresholdBatteryPolicy.java
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* Batteries are implemented. Small problem with the deletion when running larger workloads.
Added mock files for the Battery implementation. Updated the Carbon Model to allow for multiple receivers of CarbonIntensity
* Implemented batteries in OpenDC.
* Spotless applied
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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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* Initial push
* Added carbon tests
* spotless
* small update to test
* Updated build file
* Updated build file
* small test
* small update
* Test
* Test
* Updated CarbonTraces to UTC. updated the tests accordingly
* spotless
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* Change scheduler API to include task removal and add tests
* Check if memorizing schduler works with the whole system
* Spotless apply
* Expand function name and improve documentation
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* Fixed a small bug which caused the PowerSource to not always report the correct energy usage
* spotless
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* Updated the FlowDistributor to work in more cases and be more performant.
* Removed old FlowDistributor
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* Restructured opendc-simulator-flow.
Renamed Multiplexer to FlowDistributor.
* spotless applied
* Added FlowDistributor topologies back
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Multiplexer is using MaxMinFairness given that this is currently the default and only fairness available in OpenDC. (#280)
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* Fixed the Multiplexer.java to properly divide the supply over the different consumers.
Fixed a bug where fragments were being loaded in reversed order.
* Optimized the Multiplexer.java, by only updating the supply of the consumer that updated its demand when possible.
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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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* Fixed a small bug making the power source not update energy usage properly
* small update to the test
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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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* Added power sources to OpenDC.
In the current form each Cluster has a single power source that is connected to all hosts in that cluster
* Added power sources to OpenDC.
In the current form each Cluster has a single power source that is connected to all hosts in that cluster
* Ran spotless Kotlin and Java
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* Updated tests
Changed all floats into doubles to have consistency over the whole framework
Made a small update to the multiplexer to better push through supply and demand
Fixed small typo
Updated M3SA paths.
fixed merge conflicts
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.
* Updated test memory
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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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CPUs are combined into one. This is for performance and explainability. (#255)
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* Started on reimplementing the SimTrace implementation
* updated trace format. Fragments now do not have a deadline, but a duration. The Fragments are executed in order.
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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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* 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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into objects when the scenario is being executed by ScenarioRunner.kt (#227)
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* Updated the power models and added tests
* Updated test topologies
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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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* 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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* removed experiment-compute and integrated all components into opendc-compute
* updated workflow gradle file
* removed unneeded code
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This change updates the build configuration to use Spotless for code
formating of both Kotlin and Java.
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This change updates the repository to remove the use of wildcard imports
everywhere. Wildcard imports are not allowed by default by Ktlint as
well as Google's Java style guide.
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This change adds a new module called opendc-experiments-base which will
provide a base for doing experiments with OpenDC. The initial feature we
introduce is the service registry which acts as DNS for services to
register during experimentation.
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