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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 8
2410-2414,2420

Data reduced strategy for load-balanced data-intensive workflow in clouds

Hu Zhigang
Li Jia
Zheng Meiguang
College of Software Engineering, Central South University, Changsha 410075, China
DOI: 10.19734/j.issn.1001-3695.2018.02.0143

Abstract

How to schedule data-intensive workflow efficiently and reasonable has become one of the key issue in cloud computing. To address this issue, first, this paper built a directed hypergraph model for data-intensive workflow. And it proposed a concept data supportive ability to help the presentation of data-intensive workflow application and provided the merge operation details considering the data supportive ability. By optimizing the hypergraph multi-level partitioning algorithm, it proposed a data reduced scheduling policy HEFT-P for data-intensive workflow. Through simulation, it compared the classical HEFT, CPOP and MCP scheduling policies with HEFT-P. The results indicate that HEFT-P can obtain reduced data scheduling and reduce the makespan of executing data-intensive workflows.

Foundation Support

国家自然科学基金资助项目(61602525,61572525)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.02.0143
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Technology of Network & Communication
Pages: 2410-2414,2420
Serial Number: 1001-3695(2019)08-035-2410-05

Publish History

[2019-08-05] Printed Article

Cite This Article

胡志刚, 李佳, 郑美光. 云环境下面向负载均衡的数据密集型工作流的数据约简策略 [J]. 计算机应用研究, 2019, 36 (8): 2410-2414,2420. (Hu Zhigang, Li Jia, Zheng Meiguang. Data reduced strategy for load-balanced data-intensive workflow in clouds [J]. Application Research of Computers, 2019, 36 (8): 2410-2414,2420. )

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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