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* Updated FilterScheduler for performance
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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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* 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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* Restructured opendc-simulator-flow.
Renamed Multiplexer to FlowDistributor.
* spotless applied
* Added FlowDistributor topologies back
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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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* 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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Added host_name to the host output file.
Added boot_time_absolute to the server output file.
renamed absolute_timestamp to timestamp_absolute in all output files
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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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* 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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* Updated the topology format to JSON. Updated TopologyReader.kt to handle JSON filed. Added documentation for the new format.
* applied spotless kotlin
* small update
* Updated for spotless apply
* Updated for spotless apply
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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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