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Parallel Real-Time Scheduling

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Handbook of Real-Time Computing

Abstract

This chapter of the survey provides a basic introduction to real-time scheduling for parallel tasks on multicore platforms and gives an overview of the relevant results. Parallel real-time tasks are the tasks that can utilize multiple cores at the same time to complete more computation with the same real-time constraints than sequential tasks. For parallel real-time systems, researchers have studied three types of scheduling strategies: decomposition-based scheduling, global scheduling, and federated scheduling. The survey summarizes the results of these three types of scheduling strategies, including results for different parallel task models, different response time analyses, and theoretical bounds, as well as system implementation and empirical evaluations. In addition, the survey also covers some work for mixed-criticality systems that have parallel tasks.

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Author information

Authors and Affiliations

  1. New Jersey Institute of Technology, Newark, NJ, USA

    Jing Li

  2. Washington University in St. Louis, St. Louis, MO, USA

    Kunal Agrawal & Chenyang Lu

Authors
  1. Jing Li
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  2. Kunal Agrawal
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  3. Chenyang Lu
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Corresponding author

Correspondence to Jing Li .

Editor information

Editors and Affiliations

  1. School of Computer Science, Queensland University of Technology, Brisbane, QLD, Australia

    Yu-Chu Tian

  2. School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia

    David Charles Levy

Section Editor information

  1. School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

    Arvind Easwaran

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Li, J., Agrawal, K., Lu, C. (2022). Parallel Real-Time Scheduling. In: Tian, YC., Levy, D.C. (eds) Handbook of Real-Time Computing. Springer, Singapore. https://doi.org/10.1007/978-981-287-251-7_28

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