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This change adds two new properties for controlling whether the
convergence callbacks of the source and consumer respectively should be
invoked. This saves a lot of unnecessary calls for stages that do not
have any implementation of the `onConvergence` method.
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This change fixes the loss computation for both the UPS and PDU
implementation that was broken due to the new pushing mechanism. We
implement a new class FlowMapper that can be used to map the flow pushed
by a `FlowSource` using a user-specified method.
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This change creates separate callbacks for the remaining events:
onStart, onStop and onConverge.
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This change removes the `onFailure` method from FlowSource. Instead, the
FlowConsumer will receive the reason for failure of the source.
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This change renames the `opendc-simulator-resources` module into the
`opendc-simulator-flow` module to indicate that the core simulation
model of OpenDC is based around modelling and simulating flows.
Previously, the distinction between resource consumer and provider, and
input and output caused some confusion. By switching to a flow-based
model, this distinction is now clear (as in, the water flows from source
to consumer/sink).
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This change removes the distributor and aggregator interfaces in favour
of a single switch interface. Since the switch interface is as powerful
as both the distributor and aggregator, we don't need the latter two.
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This change adds a new method to `SimResourceContext` called `push`
which allows users to change the requested flow rate directly without
having to interrupt the consumer.
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This change removes the work and deadline properties from the
SimResourceCommand.Consume class and introduces a new property duration.
This property is now used in conjunction with the limit to compute the amount
of work processed by a resource provider.
Previously, we used both work and deadline to compute the duration and
the amount of remaining work at the end of a consumption. However, with
this change, we ensure that a resource consumption always runs at the
same speed once establishing, drastically simplifying the computation
for the amount of work processed during the consumption.
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This change updates the JMH benchmarks to use longer traces in order to
measure the overhead of running the flow simulation as opposed to
setting up the benchmark.
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This change removes the dependency on SnakeYaml for the simulator. It
was only required for a very small component of the simulator and
therefore does not justify bringing in such a dependency.
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This change allows workloads that require more CPUs than available on
the machine to still function properly.
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This change standardizes the metrics emitted by SimHost instances and
their guests based on the OpenTelemetry semantic conventions. We now
also report CPU time as opposed to CPU work as this metric is more
commonly used.
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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 removes the usage and speed fields from SimMachine. We
currently use other ways to capture the usage and speed and these fields
cause an additional maintenance burden and performance impact. Hence the
removal of these fields.
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This change eliminates unnecessary double to long conversions in the
simulator. Previously, we used longs to denote the amount of work.
However, in the mean time we have switched to doubles in the lower
stack.
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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 support to the simulator for reporting the work lost
due to performance interference.
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This change fixes an issue with the simulator where trace fragments with
zero cores to execute would give a NaN amount of work.
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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 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 adds initial support for storage devices in the OpenDC
simulator. Currently, we focus on local disks attached to the machine.
In the future, we plan to support networked storage devices using the
networking support in OpenDC.
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This change bridges the compute and network simulation module by
adding support for network adapters in the compute module. With these
network adapters, compute workloads can communicate over the network
that the adapters are connected to.
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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 removes the AutoCloseable interface from the
SimResourceProvider and removes the concept of a resource lifecycle.
Instead, resource providers are now either active (running a resource
consumer) or in-active (being idle), which simplifies implementation.
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This change adds the CPU frequency scaling governors including the conservative and on-demand governors that are found in the Linux kernel.
# Implementation Notes
* A `ScalingPolicy` has been added to aid the frequency scaling process.
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This change adds the CPU frequency scaling governors that are found in
the Linux kernel, which include the conservative and on-demand governor.
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This pull request adds a subsystem to OpenDC for modelling power components in datacenters,
such as UPSes, PDUs and PSUs.
These components also take into account electrical losses that occur in real-world scenarios.
- Add module for datacenter power components (UPS, PDU)
- Integrate power subsystem with compute subsystem (PSU)
- Model power loss in power components
**Breaking API Changes**
1. `SimBareMetalMachine.powerDraw` is replaced by `SimBareMetalMachine.psu.powerDraw`
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This change introduces power loss to the PSU component.
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This change integrates the power subsystem of the simulator with the
compute subsystem by exposing a new field on a SimBareMetalMachine, psu,
which provides access to the machine's PSU, which in turn can be
connected to a SimPowerOutlet.
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This change introduces a memory resource which can be used to model
memory usage. The SimMachineContext now exposes a memory field of type
SimMemory which provides access to this resource and allows workloads to
start a consumer on this resource.
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This change moves the CPU frequency scaling governors from the
bare-metal/firmware layer (SimBareMetalMachine) to the OS/Hypervisor
layer (SimHypervisor) where it can make more informed decisions about
the CPU frequency based on the load of the operating system or
hypervisor.
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This change splits the functionality present in the CPUFreq subsystem of
the compute simulation. Currently, the DVFS functionality is embedded in
SimBareMetalMachine. However, this functionality should not exist within
the firmware layer of a machine. Instead, the operating system should
perform this logic (in OpenDC this should be the hypervisor).
Furthermore, this change moves the scaling driver into the power
package. The power driver is a machine/firmware specific implementation
that computes the power consumption of a machine.
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This change updates the SimWorkload interfaces to allow
implementations to start consumers for the machine resource providers
directly.
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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 fixes an issue where the power draw of a machine is
initially zero and does not update until the CPU usage is higher than
zero, while the idle power is the machine is not actually zero.
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This change introduces the SimResourceScheduler interface, which is a
generic interface for scheduling the coordination and synchronization
between resource providers and resource consumers.
This interface replaces the need for users to manually specify the clock
and coroutine context per resource provider.
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This change fixes an issue with the compute benchmarks where the
workload was being re-used across iterations.
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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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