ISSN 1000-1239 CN 11-1777/TP

Journal of Computer Research and Development ›› 2016, Vol. 53 ›› Issue (6): 1186-1201.doi: 10.7544/issn1000-1239.2016.20150175

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Dynamic Scheduling of Dual-Criticality Distributed Functionalities on Heterogeneous Systems

Liu Liangjiao1,2, Xie Guoqi1,2, Li Renfa1,2, Yang Liu3, Liu Yan1,2   

  1. 1(College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082);2(Key Laboratory for Embedded and Network Computing of Hunan Province (Hunan University), Changsha 410082);3(Development and Reform Commission of Hunan Province, Changsha 410004)
  • Online:2016-06-01

Abstract: Heterogeneous distributed systems are mixed-criticality systems consisting of multiple functionalities with different criticality levels. A distributed functionality contains multiple precedence-constrained tasks. Mixed-criticality scheduling of heterogeneous distributed systems faces severe conflicts between performance and time constraints. Improving the overall performance of systems while still meeting the deadlines of higher-criticality functionalities, and making a reasonable tradeoff between performance and timing are major optimization problems. The F_DDHEFT(fairness of dynamic dual-criticality heterogeneous earliest finish time) algorithm is to improve the performance of systems. The C_DDHEFT (criticality of dynamic dual-criticality heterogeneous earliest finish time) algorithm is to meet the deadlines of higher-criticality functionalities. The D_DDHEFT (deadline-span of dynamic dual-criticality heterogeneous earliest finish time) algorithm is to allow the lower-criticality functionalities to be processed positively for better overall performance while still meeting the deadlines of higher-criticality functionalities, such that a reasonable tradeoff between performance and timing is made. Both example and extensive experimental evaluation demonstrate significant improvement of the D_DDHEFT algorithm.

Key words: heterogeneous distributed embedded systems, dual-criticality, performance, real-time, deadline-span

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