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Power-Aware Run-Time Scheduler for Mixed-Criticality Systems on Multi-Core Platform by Ranjbar, Behnaz; Nguyen, Tuan D. A.; Ejlali, Alireza; Kumar, Akash is a scholarly article available to read on EtoBox.

What is Power-Aware Run-Time Scheduler for Mixed-Criticality Systems on Multi-Core Platform about?

In modern multi-core Mixed-Criticality (MC) systems, a rise in peak power consumption due to parallel execution of tasks with maximum frequency, specially in the overload situation, may lead to thermal issues, which may affect the reliability and timeliness of MC systems. Therefore, managing peak power consumption has become imperative in multi-core MC systems. In this regard, we propose an online peak power and thermal management heuristic for multi-core MC systems. This heuristic reduces the peak power consumption of the system as much as possible during runtime by exploiting dynamic slack and per-cluster Dynamic Voltage and Frequency Scaling (DVFS). Specifically, our approach examines multiple tasks ahead to determine the most appropriate one for slack assignment, that has the most impact on the system peak power and temperature. However, changing the frequency and selecting a proper task for slack assignment and a proper core for task re-mapping at runtime can be time-consuming and may cause deadline violation which is not admissible for high-criticality tasks. Therefore, we analyze and then optimize our run-time scheduler and evaluate it for various platforms. The proposed app

Author

Ranjbar, Behnaz; Nguyen, Tuan D. A.; Ejlali, Alireza; Kumar, Akash

Published

2020

Language

EN