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Reliability-aware task scheduling for energy efficiency on heterogeneous multiprocessor systems

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Abstract

Recent studies mainly focus on high performance or low power consumption for task scheduling on heterogeneous multiprocessor systems (HMSs). Dynamic voltage and frequency scaling (DVFS) is an important energy reduction technique, which adjusts the voltage and frequency of the processor while the task is executing. However, some studies have shown that reducing the voltage of processor increases the transient failure rate, which reduces system reliability. In this paper, we aim at addressing the scheduling problem of optimizing energy under makespan and reliability constraints on HMSs with DVFS. We first propose an improved whale optimization algorithm (WOA) deploying opposition-based learning and individual selection strategy, which can balance the exploration and exploitation ability. To maintain population diversity, we then apply a constrained rank-based method which retains some infeasible individuals in the population. Finally, we reschedule the Critical Path Nodes (CPNs) to further improve the performance of improved WOA. The main difference between our work and most previous works is that we study a new scheduling problem, and utilize an improved WOA algorithm integrating with rescheduling CPNs and a constrained rank-based method. Extensive experiments are conducted to evaluate our proposed algorithm, and the evaluation results show that our proposed algorithm is compelling in comparison with the state-of-the-art algorithms.

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Acknowledgements

Supported by Key-Area Research and Development Plan of Guangdong Province #2020B010164003 and National Key R&D Program of China Project #2017YFB0203201.

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Authors and Affiliations

  1. School of Data and Computer Science, Sun Yat-sen University, Guangzhou, 510006, China

    Zexi Deng, Hong Shen, Zihan Yan & Huimin Huang

  2. School of Science, Guangxi University for Nationalities, Nanning, 530006, Guangxi, China

    Dunqian Cao

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  1. Zexi Deng
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Deng, Z., Cao, D., Shen, H. et al. Reliability-aware task scheduling for energy efficiency on heterogeneous multiprocessor systems. J Supercomput 77, 11643–11681 (2021). https://doi.org/10.1007/s11227-021-03764-x

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