Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 1
31-36

Multi-objective scheduling algorithm of DAG tasks in cloud computing

Xu Jianrui1,2
Zhu Huijuan3
1. School of Computer Science & Telecommunication Engineering, Jiangsu University, Zhenjiang Jiangsu 212013, China
2. Zhenjiang Branch, Jiangsu Union Technical Institute, Zhenjiang Jiangsu 212016, China
3. School of Computer & Control Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
DOI: 10.19734/j.issn.1001-3695.2017.07.0683

Abstract

For implementing the synchronization optimization of tasks execution efficiency and execution cost, this paper presented a multi-objective scheduling optimization algorithm of DAG tasks in cloud environment. This algorithm defined the multi-objective optimization problem as the trade-off optimal solutions set satisfying Pareto optimal and solved this model by the heuristic method. At the same time, for evaluating the quality of multi-objective trade-off solutions, it designed a evaluation mechanism based on hypervolume method, which could obtain the trade-off scheduling solutions with conflict objectives. Through setting cloud environment and three kinds of synthetic workflow and two kinds of real-world scientific workflow, it constructed some simulation experiments. The results show that, compare with the same type of single objective algorithm and multi-objective heuristic algorithm, this algorithm not only has higher solving quality, but has better trade-off degree of solutions, which can conform to the mode of resource utility and workflow scheduling in real-world cloud.

Foundation Support

国家自然科学基金资助项目(61302124)
江苏省高校自然科学研究面上项目(16KJB520010)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.07.0683
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 1
Section: Algorithm Research & Explore
Pages: 31-36
Serial Number: 1001-3695(2019)01-007-0031-06

Publish History

[2019-01-05] Printed Article

Cite This Article

徐健锐, 朱会娟. 云计算环境中面向DAG任务的多目标调度算法 [J]. 计算机应用研究, 2019, 36 (1): 31-36. (Xu Jianrui, Zhu Huijuan. Multi-objective scheduling algorithm of DAG tasks in cloud computing [J]. Application Research of Computers, 2019, 36 (1): 31-36. )

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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