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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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This change migrates the remainder of the codebase to the
SimulationCoroutineDispatcher implementation.
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This change introduces the SimulationCoroutineDispatcher implementation
which replaces the TestCoroutineDispatcher for running single-threaded
simulations.
Previously, we used the TestCoroutineDispatcher from the
kotlinx-coroutines-test modules for running simulations. However, this
module is aimed at coroutine tests and not at simulations.
In particular, having to construct a Clock object each time for the
TestCoroutineDispatcher caused a lot of unnecessary lines. With the new
approach, the SimulationCoroutineDispatcher automatically exposes a
usable Clock object.
In addition to ergonomic benefits, the SimulationCoroutineDispatcher is
much faster than the TestCoroutineDispatcher due to the assumption that
simulations run in only a single thread. As a result, the dispatcher
does not need to perform synchronization and can use the fast
PriorityQueue implementation.
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This change fixes an issue in SimTraceWorkload where the CPU usage was
not divided across the cores, but was instead requested for all cores.
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This change updates the compute service simulator to use OpenTelemetry
for reporting metrics of the (simulated) hosts as opposed to using
custom event flows.
This approach is more generic, flexible and possibly offers better
performance as we can collect metrics of all services in a single sweep,
as opposed to listening to several services and each invoking the
handlers.
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This change moves the power models from the `opendc-compute-simulator`
to the `opendc-simulator-compute` module, since it better fits the scope
of the models and allows them to be re-used for other purposes.
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This change removes the generic resource constraint (e.g., SimResource)
and replaces it by a simple capacity property. In the future, users
should handle the resource properties on a higher level.
This change simplifies compositions of consumers and providers by not
requiring a translation from resource to capacity.
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This change changes the consumer and context interfaces to expose the
provider capacity and remaining work via the context instance as opposed
to only via the callback. This simplifies aggregation of resources.
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This change re-designs the SimResourceConsumer interface to support in
the future capacity negotiation. This basically means that the consumer
will be informed directly when not enough capacity is available, instead
of after the deadline specified by the consumer.
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This change implements the CPU energy model with p-states from iCanCloud/E-mc2:
- Only pushed a portion of the code for discussion as not sure if the idea is
on track.
- Inline comments have been added, and formal documents will follow once the
model is finalized.
- The p-state power consumptions are currently hard-coded in a companion
object, which should be improved in the next PR(s).
**Breaking Changes**
- CpuPowerModel: directly interact with the machine it is measuring.
- SimBareMetalMachine: expose the speeds of its CPU cores and its clock
instant.
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This change moves the hypervisor implementations to the
opendc-simulator-resources module and makes them generic to the resource
type that is being used (e.g., CPU, disk or networking).
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This change adds a generic framework for modeling resource consumptions and
adapts opendc-simulator-compute to model machines and VMs on top of
this framework.
This framework anticipates the addition of additional resource types
such as memory, disk and network to the OpenDC codebase.
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This change removes the opendc-core module. This module was an artifact
of the old codebase and remained mostly unused. This change removes all
usages of the module and if necessary introduces replacement classes.
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This change adds the ability to define labels and meta-data for
resources. This can be used in the future to identify servers and pass
data between client and server.
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This change adds more methods for controlling the lifecycle of Server instances.
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This change removes the usage of bare-metal provisioning from the OpenDC
Compute module. This significantly simplifies the experiment setup.
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This change moves the bare-metal provisioning packages outside the
compute module since these modules represent different layers in the
ecosystem and should not be mixed.
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This change introduces the ComputeService interface (previously
VirtProvisioningService) and provides a central implementation in
opendc-compute-service.
Previously, the implementation of this interface was bound to the
simulator package, which meant that independent business logic could not
be re-used without importing the simulator code.
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This change extracts the API for the OpenDC Compute service into a separate
module to establish a clearer boundary between the interface meant for
consumers and interfaces meant for the the serve implementation.
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This change converts the Server data class which can be used as a
stateful object to control an instance running in the cloud.
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This change refactors the OpenDC Compute module so that the
VirtProvisioningService is now responsible for managing the lifecycle of
Server objects as opposed to the VirtDriver and BareMetalDriver
previously.
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This change separates the cloud compute layer in OpenDC (e.g., Server)
from the bare-metal layer (e.g., Node), such that Node and
BareMetalDriver are unaware of the existence of Server and co.
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This change removes the SimWorkloadImage implementation and changes
Image to a data class without workload. Simulation workloads should now
be pased via image metadata as the image storage should be unaware of
any simulation details.
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This commit implements the energy models that are present in CloudSim:
1. Constant
2. Linear
3. Cubic
4. Square root
5. Interpolation based on data.
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This change allows users to select the hypervisor scheduler to use when
deploying hypervisors onto bare-metal machines.
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This change converts the low-level workload model to be pull-based. This
reduces the overhead that we experienced with our previous co-routine
based approach.
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This change updates the workflow service to delegate the resource
scheduling logic to the virtualized resource provisioner.
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This change splits the opendc-compute module into two modules:
1. opendc-compute-core
The interfaces and APIs that represent a IaaS platform.
2. opendc-compute-simulator
The implementation of these interfaces using simulation components
from opendc-simulator-compute.
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