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Linear and dynamic programming algorithms for real-time task scheduling with task duplication

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Abstract

A real-time task scheduling system model was analyzed under a heterogeneous multiprocessor platform with task duplication. This analysis focused on the designs and performances of linear and dynamic programming algorithms for real-time task scheduling under a heterogeneous platform with task duplication. Moreover, experimental analyses were performed to evaluate the performances of different algorithms under different conditions. The advantages of the two proposed algorithms were compared under the same situations to discover which one achieves a higher task scheduling efficiency for a heterogeneous real-time system.

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Acknowledgements

This work is supported by the National Key Research and Development Program of China under grant No. 2016YFB0800801, the National Science Foundation of China (NSFC) under grant No. 61672186, 61472108 and the Specialized Research Fund for the Doctoral Program of Higher Education under grant No. 20132302110037

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Authors and Affiliations

  1. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, HL, China

    Weizhe Zhang, Yao Hu, Hui He & Yawei Liu

  2. Lynbrook High School, San Jose, CA, 95129, USA

    Allen Chen

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  1. Weizhe Zhang
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  2. Yao Hu
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  3. Hui He
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  4. Yawei Liu
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  5. Allen Chen
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Correspondence to Weizhe Zhang.

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Zhang, W., Hu, Y., He, H. et al. Linear and dynamic programming algorithms for real-time task scheduling with task duplication. J Supercomput 75, 494–509 (2019). https://doi.org/10.1007/s11227-017-2076-9

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