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A multiprocessor-oriented power-conscious scheduling algorithm for periodic tasks

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Abstract

With the rapid development of advanced technology in VLSI circuit designs, many processors could provide dynamic voltage scaling (DVS) to save power consumption when the supply voltage is allowed to be lower. In this paper, we propose a multiprocessor-oriented power-conscious scheduling algorithm for the real-time periodic tasks with task migration constrained scheme. We classify periodic tasks into fixed tasks and migration tasks, and limit the number of migration tasks and the number of destination processors which execute migration tasks. The proposed algorithm is made up of two steps. Firstly, choosing a processor to sort all of the periodic tasks in a non-increasing order according to task utilization, afterwards, allocating them to other processors. Secondly, scheduling the migration tasks with a virtual execution windows policy, and then scheduling the fixed tasks with EDF algorithm. The experiment results show that compared with arbitrary task migration policy and no task migration allowed policy, the power consumption in multiprocessor real-time periodic tasks scheduling is lowered significantly with the proposed algorithm.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (No. 61020106001 and No. 61272431), the Scientific Research Foundation for the Excellent Middle-Aged and Youth Scientists of Shandong Province (Grant No. BS2012DX028 and BS2011DX024), Shandong Provincial Natural Science Foundation (Grant No. ZR2012FM002, ZR2011FL020, and ZR2011FL029), the Humanities and Social Sciences Project of Education Ministry (Grant No. 13YJC860023), and the Doctoral Foundation of Shandong University of Finance and Economics (Grant No. B13034). We also appreciate the anonymous reviewers for thoroughly reading the paper and providing thoughtful comments.

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Authors and Affiliations

  1. School of Computer Science and Technology, Shandong Economic University, Ji’nan, 250014, China

    Zheng Liu, Zhen Li & Hua Yan

  2. Shandong Provincial Key Laboratory of Digital Media Technology, Ji’nan, 250014, China

    Zheng Liu, Zhen Li, Hua Yan & Huijian Han

  3. Center of Modern Education Technology, Hebei University of Engineering, Handan, 056038, China

    Weiguo Zhao

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  1. Zheng Liu
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  2. Weiguo Zhao
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  3. Zhen Li
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  4. Hua Yan
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Correspondence to Zheng Liu.

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Liu, Z., Zhao, W., Li, Z. et al. A multiprocessor-oriented power-conscious scheduling algorithm for periodic tasks. Telecommun Syst 53, 115–122 (2013). https://doi.org/10.1007/s11235-013-9684-3

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  • DOI: https://doi.org/10.1007/s11235-013-9684-3

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