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This pull requests updates the project as follows:
1. **Update Gradle version to 4.8**
This allows us to make use of new features such as native JUnit 5 integration and the build cache.
2. **Update Gradle build configuration according to new changes**
This change allows us to share configuration across modules and easily change the versions for shared dependencies. In addition, we now make use of the `java-library` plugin which allows for various optimizations. See https://docs.gradle.org/current/userguide/java_library_plugin.html
3. **Add support for Jacoco**
We add support code coverage tracking via the latest version of Jacoco which has increasing support for Kotlin.
Closes #22
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This change updates the Gradle build configuration in order to make use
of the native JUnit 5 integration and the newest Kotlin and Dokka
plugins.
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This pull request implements interpolation of task progress
(represented as the `TaskState` and `MachineState` class) via the
Interpolation helpers implemented in #20. The model assumes that tasks progress
linearly between two measurements (since the time between measurements is
usually small).
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This change adds interpolation functionality to the standard library for
instrumentation devices.
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This change provides a method in the standard library to access the
process context in nested suspending function calls.
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This change creates a distinction between a kernel and a simulation.
A single simulation is represented by a `Simulation` object which
provides control over the simulation, while the `Kernel` interface
allows users to create a new simulation using that kernel as backend.
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This change aligns the code formatting of the project with the official
Kotlin Style Guide. They can be found at
http://kotlinlang.org/docs/reference/coding-conventions.html.
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This change bumps the version of the dependencies used by the project.
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This change contains the redesign of the core simulation API and
provides a cleaner interface for developing simulation models for the
users.
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This change prevents the currently available scheduler implementations
from scheduling tasks to machines without processing units, since these
machines cannot perform any work.
Closes #4
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This change fixes the interference of multiple experiments running at
the same time due to some thread unsafe behaviour in the
JpaExperimentManager class.
The code has now been restructured to solve the issue and fix the thread
unsafe behaviour.
Closes #9.
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This change allows processes to set a timeout when waiting for a message
to arrive.
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This change implements default tasks scheduling algorithms like FIFO or SRTF
and adds them to to the standard library.
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This change splits up the current code base into three different
module:
- opendc-core - This module defines the API which you can use to write
simulatable entities in a topology.
- opendc-omega - This module is the reference implementation of the API
defined the `opendc-core` module.
- opendc-stdlib - This module provides a standard library of entities
which can be used for datacenter simulation.
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