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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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faster. (#375)
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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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* 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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* 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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