Partitioned scheduling policies on multi-processor mixed-criticality systems

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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  • Chuan-Cai Gu
  • Nan Guan
  • Jin-Ming Yu
  • Yi Wang
  • Qing-Xu Deng


Original languageEnglish
Pages (from-to)284-297
Journal / PublicationRuan Jian Xue Bao/Journal of Software
Issue number2
Publication statusPublished - Feb 2014
Externally publishedYes


Multi-Core processors are more and more widely used in embedded systems as they provide great computing capacities to integrate multiple functionalities with different criticality levels into a shared platform. The scheduling problem of mixed-criticality systems appears to be challenging, even on single-processor platforms. This work extends the state-of-the-art single-processor mixed- criticality scheduling algorithm EY-VD to multi-processor systems. To begin with, it integrates EY-VD into traditional workload partitioning schemes to get a multiprocessor mixed-criticality scheduling algorithm MC-PEDF (mixed-criticality partitioned earliest deadline first). Although MC-PEDF performs better than previous solutions, the study finds that the traditional workload partitioning schemes are not suitable for mixed-criticality systems as it does not explore the asymmetricity of workload on different criticality levels. To overcome this problem, a workload partitioning policy OCOP (one criticality one partition) is proposed. OCOP allows tasks to be reassigned to a different processor when criticality mode switch occurs, thus can better balance the resource utilization among processors on different criticality levels. Based on OCOP, the second partitioned scheduling algorithm MC-MP-EDF (mixed-criticality multi- partitioned EDF) is constructed. Experiments with randomly generated workload show that MC-MP-EDF can drastically improve the system schedulability comparing with MC-PEDF and other previous algorithms, especially for systems with more processors. © Copyright 2014, Institute of Software, the Chinese Academy of Sciences. All rights reserved.

Research Area(s)

  • EDF (earliest deadline first), Mixed-criticality system, Multi-processor, Partitioned scheduling

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Citation Format(s)

Partitioned scheduling policies on multi-processor mixed-criticality systems. / Gu, Chuan-Cai; Guan, Nan; Yu, Jin-Ming; Wang, Yi; Deng, Qing-Xu.

In: Ruan Jian Xue Bao/Journal of Software, Vol. 25, No. 2, 02.2014, p. 284-297.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review