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This change moves the metric collection outside the Capelin codebase in
a separate module so other modules can also benefit from the compute
metric collection code.
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This change updates the trace reading classes in the Capelin experiment
to use the new trace API in order to re-use many of the trace reading
parts.
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This change updates the WTF trace reader to support the new streaming
trace API.
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This change moves Bitbrains trace support into a separate module and
adds support for the new trace api.
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This change removes the environment reader from the format library since
they are highly specific for the particular experiment. In the future,
we hope to have a single format to setup the entire datacenter (perhaps
similar to the format used by the web runner).
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This change extracts the Parquet helpers outside format module into a
new module, in order to improve re-usability of these helpers.
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This change updates the SimHost implementation to measure the power draw
of the machine without PSU overhead to make the results more realistic.
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This change updates the metric exporter logic in the Capelin module and
reduces the number of allocations by looping directly over the
collection of metrics.
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This change eliminates the unnecessary conversions from double to long
in the Capelin metric processing code.
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This change upgrades the OpenTelemetry dependency to version 1.5, which
contains various breaking changes in the metrics API.
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This change adds tests to the Capelin integration suite for performance
interference as well as failures. These test more accurately the
experiment setup.
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This change updates the Bitbrains trace tests with the updated trace
that does not hardcode the duration of the trace fragments.
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This change fixes an issue with the workload sampler where the resulting
workload entries would not be ordered properly according to their
submission time.
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This change updates the code for the Bitbrains trace reader and upgrades
the TraceConverter to re-use existing code of the Bitbrains trace
reader.
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This change fixes an issue with the simulator where it would record
overcomitted work if the output was updated before the deadline was
reached.
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This change refactors the trace workload in the OpenDC simulator to
track execute a fragment based on the fragment's timestamp. This makes
sure that the trace is replayed identically to the original execution.
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This change updates the FilterScheduler implementation to follow more
closely the scheduler implementation in OpenStack's Nova. We now
normalize the weights, support many of the filters and weights in
OpenStack and support overcommitting resources.
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This change updates the Kotlin dependencies used by OpenDC to their
latest version.
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This change updates reimplements the performance interference model to
work on top of the universal resource model in
`opendc-simulator-resources`. This enables us to model interference and
performance variability of other resources such as disk or network in
the future.
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This change updates the trace reader implementation to remove their
dependency on the performance interference model. In a future commit, we
will instead pass the performance interference model via the
host/hypervisor.
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This change re-organizes the classes of the compute simulator module to
make a clearer distinction between the hardware, firmware and software
interfaces in this module.
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This change enables the experiments to share the SimResourceInterpreter
across multiple hosts, which allows updates to be scheduled efficiently
for all machines at the same time. This is especially beneficial if the
machines operate on the same time slices.
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This change fixes the execution of the Energy21 experiments which failed
due to various changes in the OpenDC codebase. First, the directory
structure is now required to be pre-generated before the writer starts
writing the experiment output. Second, we must include the configuration
of the Capelin experiment in this experiment in order to workaround an
issue with harness filtering.
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This change updates the Parquet writers used in the Capelin experiments
to use our OutputFile implementation for local files, to reduce our
dependency on Apache Hadoop.
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This change updates the Parquet readers used in the Capelin experiments
to use our InputFile implementation for local files, to reduce our
dependency on Apache Hadoop.
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This change adds a new interface to the resources library for accessing
metrics of resources such as work, demand and overcommitted work. With
this change, we do not need an implementation specific listener
interface in SimResourceSwitchMaxMin anymore.
Another benefit of this approach is that updates will be scheduled more
efficiently and progress will only be reported once the system has
reached a steady-state for that timestamp.
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This change introduces the SimResourceInterpreter which centralizes the
logic for scheduling and interpreting the communication between resource
consumer and provider.
This approach offers better performance due to avoiding invalidating the
state of the resource context when not necessary. Benchmarks show in the
best case a 5x performance improvement and at worst a 2x improvement.
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This change addresses the deprecations that were caused by the migration
to Kotlin 1.5.
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This change adds support for configuring the experiments via
configuration files using the TypeSafe config library. In the future, we
will also integrate support for configuration into the harness.
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This change fixes the aggregation of the power draw metric. Previously,
if the power draw did not change between collection cycles, the power
draw would be reported as zero. This change uses OpenTelemetry Views to
collect the latest value of the power draw each cycle.
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This change updates the project structure to become flattened.
Previously, the simulator, frontend and API each lived into their own
directory.
With this change, all modules of the project live in the top-level
directory of the repository. This should improve discoverability of
modules of the project.
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