In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
See More
Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 8
2390-2394

Large-scale resource scheduling method using improved genetic algorithm combined with secondary coding in cloud computing environment

Gu Nannan
Yao Peiyang
Jiao Zhiqiang
School of Information & Navigation, Air Force Engineering University, Xi'an 710077, China
DOI: 10.19734/j.issn.1001-3695.2019.02.0060

Abstract

This paper proposed a large-scale resource scheduling method based on improved genetic algorithm combined with secondary coding. This method solved the problem that traditional genetic algorithm could not meet the resource scheduling problem in large-scale cloud computing environment under multi-user. In the selective replication phase, it used a dual fitness function based on minimum task completion time and matching degree to screen the populations by double criteria. Next, it adaptively optimized the cross-mutation probability of the algorithm, and further improved its adaptive ability, which ensured that the algorithm converged to the optimal solution as soon as possible. The introduced convergence termination condition ensured that the algorithm jumped out of the loop as soon as possible. Finally, it used the CloudSim platform to analyze the improved genetic algorithm(IGA). It shows that the improved genetic algorithm can be well applied to large-scale resource scheduling, and the result is better than the comparison algorithm.

Foundation Support

国家自然科学基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.02.0060
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 8
Section: Algorithm Research & Explore
Pages: 2390-2394
Serial Number: 1001-3695(2020)08-031-2390-05

Publish History

[2020-08-05] Printed Article

Cite This Article

谷南南, 姚佩阳, 焦志强. 云计算环境下利用改进遗传算法结合二次编码的大规模资源调度方法 [J]. 计算机应用研究, 2020, 37 (8): 2390-2394. (Gu Nannan, Yao Peiyang, Jiao Zhiqiang. Large-scale resource scheduling method using improved genetic algorithm combined with secondary coding in cloud computing environment [J]. Application Research of Computers, 2020, 37 (8): 2390-2394. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)