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Lei Chen

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Proceedings Article | 29 April 2022 Paper

Energy-efficient mixed task scheduling algorithm on heterogeneous multiprocessors

Lei Chen, Hao Lan, Xiangzhan Wu

Proceedings Volume 12255, 1225516 (2022) https://doi.org/10.1117/12.2639179

KEYWORDS: Evolutionary algorithms, Algorithms, Convex optimization, Computer simulations, Algorithm development, Telecommunications, Systems modeling, Optimization (mathematics)

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To solve the high energy consumption problem for heterogeneous multiprocessors, an energy efficient mixed task scheduling algorithm (EMA) for periodic and aperiodic tasks is presented. The algorithm assigns tasks to specified core according to their impact on system energy consumption and average worst-case execution time (WCET). At the same time, the sum of periodic task utilization and the bandwidth of the total bandwidth server on a single core less than 1 to ensure the scheduling scheme feasibility. In the core with only periodic tasks, let WCET close to the deadline, and reduce the execution frequency to decrease the energy consumption. On the core with mixed tasks, tasks were scheduled by the earlier deadline first and total bandwidth server. When aperiodic tasks are executed, the processor works at the maximum executable frequency to ensure timely response. Simulation results show that the energy consumption of EMA is 46.7%~69.0% lower than that of the typical heuristic, the execution time is much less than that of the algorithm based on Optimization theory, and the scheduling scheme is more feasible and practical.

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