Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 11
3371-3377

Research on scheduling optimization of mixed-criticality tasks based on offline utilization analysis

Chai Songwei
Zhang Fengdeng
Tang Ying
School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2022.04.0188

Abstract

The current mainstream mixed-criticality scheduling algorithm guarantees the execution of high-criticality tasks by discarding low-critical tasks when the system is in a high-critical state, thereby ensuring the correctness of the system. Since this method often leads to the problem that low-critical tasks cannot execute, but the system resources are excessive. Based on this problem, this paper proposed a composite SDU scheduling algorithm which divided the utilization interval according to the resource requirements of the task set. According to the analysis of actual usage of each interval, it designed the corresponding algorithm for scheduling, and proposed the schedulability criterion corresponding to the SDU algorithm. The simulation results show that, comparing with the mainstream algorithm EDF-VD in the field of mixed-critical task scheduling, the SDU algorithm can improve the system's scheduling rate by 30% and under the same conditions, the execution rate of low-critical tasks is increased by 165%, which greatly improves the utilization rate of system resources and ensures the integrity of system services.

Foundation Support

国家自然科学基金资助项目(71840003)
上海市自然科学基金资助项目(15ZR1429300)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.04.0188
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 11
Section: Algorithm Research & Explore
Pages: 3371-3377
Serial Number: 1001-3695(2022)11-027-3371-07

Publish History

[2022-06-27] Accepted Paper
[2022-11-05] Printed Article

Cite This Article

柴淞威, 张凤登, 唐莹. 基于离线利用率分析的混合关键级任务调度优化研究 [J]. 计算机应用研究, 2022, 39 (11): 3371-3377. (Chai Songwei, Zhang Fengdeng, Tang Ying. Research on scheduling optimization of mixed-criticality tasks based on offline utilization analysis [J]. Application Research of Computers, 2022, 39 (11): 3371-3377. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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