2016
DOI: 10.1145/2907972.2907975
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Cache-aware real-time scheduling simulator

Abstract: Evaluating cache related preemption delay (CRPD) in preemptive scheduling context of Real-Time Embedded System (RTES) stays an open issue despite of its practical importance. Indeed, various parameters should be taken into account such as memory layout, cache utilization, processor utilization, priority assignment and scheduling algorithm. In state-of-the-art work, dependencies amongst those parameters are not investigated with precision because of the lack of scheduling analysis tool taking them into account.… Show more

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Cited by 2 publications
(3 citation statements)
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“…In some cases, the authors used simulation in their experiments; however, the method to perform the simulation has not been formalized. Our previous work in [16] presents a CRPD-aware scheduling simulator that is compliant with existing analytical methods in [21], [2], [34] and [28]; however, the problems regarding sustainability, feasibility interval and pessimism are not addressed. In this article, we aim to address these issues by presenting a formal and detailed description of CRPD-aware scheduling simulation.…”
Section: Scheduling Simulation Based Approachesmentioning
confidence: 99%
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“…In some cases, the authors used simulation in their experiments; however, the method to perform the simulation has not been formalized. Our previous work in [16] presents a CRPD-aware scheduling simulator that is compliant with existing analytical methods in [21], [2], [34] and [28]; however, the problems regarding sustainability, feasibility interval and pessimism are not addressed. In this article, we aim to address these issues by presenting a formal and detailed description of CRPD-aware scheduling simulation.…”
Section: Scheduling Simulation Based Approachesmentioning
confidence: 99%
“…In Cheddar, we implemented the model of tasks following C on-lim computation model. A detailed explanation of how Cheddar is extended to systems with cache can be found at [16].…”
Section: Case Study: Mälardalen Benchmark Suitementioning
confidence: 99%
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