Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 7
2015-2019

Improved resource scheduling algorithm in cloud storage environment

Xu Jianpeng
Li Xin
Zhao Xiaofan
School of Information Technology & Cyber Security, People's Public Security University of China, Beijing 102628, China
DOI: 10.19734/j.issn.1001-3695.2018.01.0030

Abstract

How to store the user's massive data into the data center with the minimum time-consuming is the key issue to be considered in improving cloud storage efficiency and solving the bottleneck of its development. This paper first proved that the minimum storage time-consuming of resource scheduling scheme in cloud storage environment belongs to NPC problem. In view of the incomplete consideration of the existing scheduling algorithms and the problem that the scheduling result tends to fall into the local optimum, this paper proposed a new resource scheduling algorithm. The algorithm firstly used the triangular fuzzy analytic hierarchy process method to comprehensively analyze the scheduling effecting factors, and obtained the judgment matrix of storage nodes, which was used to construct the follow-up objective function of genetic algorithm, and then it innovated the simple genetic algorithm from the perspective of encoding, cross-mutation operation and self-improvement of lethal chromosome so that it was suitable for cloud storage environment. Finally, this paper analyzed and compared the Cinder block storage algorithm in OpenStack and the existing improved algorithms. The experimental results verify the effectiveness of the proposed algorithm and achieve more efficient resource scheduling.

Foundation Support

中国人民公安大学基础科研经费项目(2016JKF01316)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0030
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: Algorithm Research & Explore
Pages: 2015-2019
Serial Number: 1001-3695(2019)07-022-2015-05

Publish History

[2019-07-05] Printed Article

Cite This Article

徐建鹏, 李欣, 赵晓凡. 一种云存储环境下的资源调度改进算法 [J]. 计算机应用研究, 2019, 36 (7): 2015-2019. (Xu Jianpeng, Li Xin, Zhao Xiaofan. Improved resource scheduling algorithm in cloud storage environment [J]. Application Research of Computers, 2019, 36 (7): 2015-2019. )

About the Journal

  • Application Research of Computers Monthly Journal
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    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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