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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 metrics and parquet output
* fixed typos
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* made sure all tests run
* fixed typo
* executed spotlessApply
* added back web-server tests
* updated SimTraceWorkloadTest
* commented CapelinRunneer and GreenifierRunner tests
* commented one SimTraceWorkloadTest
* altered codecov execution
* changed codecov
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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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This change updates the interface of `SimWorkload` to support
snapshotting workloads. We introduce a new method `snapshot()` to this
interface which returns a new `SimWorkload` that can be started at a
later point in time and on another `SimMachine`, which continues
progress from the moment the workload was snapshotted.
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This change updates the implementation of `SimMachineContext` to report
exceptions thrown in `onStop` as suppressed exceptions if an exception
caused the workload to stop.
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This change adds a new static method `chain` to `SimWorkloads` to chain
multiple workloads sequentially.
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This change updates the interface of `SimMachineContext` to allow
workloads to reset all resources provided by the machine to the
workload. This allows us to implement a `SimWorkload` that can compose
multiple workloads.
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This change introduces a new class SimWorkloads which provides
construction methods for the standard workloads available in OpenDC.
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This change updates the interface of `SimMachine#startWorkload` to
introduce a parameter `completion` that is invoked when the workload
completes either succesfully or due to failure.
This functionality has often been implemented by wrapping a
`SimWorkload` and catching its exceptions. However, since this
functionality is used in all usages of `SimMachine#startWorkload` we
instead embed it into `SimMachine` itself.
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This change updates the workload implementation of SimTrace by
introducing multiple implementations of the FlowStageLogic interface,
which is selected dynamically when the workload starts.
This change helps eliminate the unecessary division (and memory fetch)
when running a workload with just a single CPU.
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This change re-implements the OpenDC compute simulator framework using
the new flow2 framework for modelling multi-edge flow networks. The
re-implementation is written in Java and focusses on performance and
clean API surface.
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