2017 18th International Symposium on Quality Electronic Design (ISQED) 2017
DOI: 10.1109/isqed.2017.7918342
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Processor/memory Co-Scheduling using periodic resource server for real-time systems under peak temperature constraints

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Cited by 1 publication
(2 citation statements)
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“…While there are some works (e.g. [194]) that analytically capture temperature variations based on existing power traces, how to optimize the task allocations in face of real-time and temperature constraints remains a problem. To solve this problem, we adopt the periodic resource model in our approach to manage the CPU and memory resources.…”
Section: Our Approachmentioning
confidence: 99%
See 1 more Smart Citation
“…While there are some works (e.g. [194]) that analytically capture temperature variations based on existing power traces, how to optimize the task allocations in face of real-time and temperature constraints remains a problem. To solve this problem, we adopt the periodic resource model in our approach to manage the CPU and memory resources.…”
Section: Our Approachmentioning
confidence: 99%
“…For overhead, we choose a value of 0.5 ms which is able to account for CPU and memory wake ups, plus cache cold starts. Since a smaller server period offers a smaller SC's peak temperature [194], we choose the value of P test = 10 ms. is reduced because some tasks may have average power values that prevent them from being allocated alone to any SC. Also, it can be seen in Fig.…”
Section: Real-time Task Partitioning Strategiesmentioning
confidence: 99%