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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 10
2889-2895

Summary of task scheduling algorithms based on multiple cloud environments

Chen Honghua1a,1b
Cui Xiaolong1a,2
Wang Yaojie3
1. a. Anti-Terrorism Command Information Engineering Research Team, b. Postgraduate Brigade, Engineering University of PAP, Xi'an 710086, China
2. Urumqi Campus of Engineering University of PAP, Urumqi 830000, China
3. Construction & Development Research Institute of the Armed Police Research Institute, Beijing 100000, China
DOI: 10.19734/j.issn.1001-3695.2023.02.0076

Abstract

Task scheduling algorithms are the core method for resource allocation and deployment in cloud computing. To meet the current task demand of cloud computing while the amount of data grows exponentially, the paper focused on systematically sorting and summarizing of task scheduling algorithms. Categorized by cloud environment, it studied and analyzed four types of scheduling algorithms, namely single cloud, federated cloud, hybrid cloud, and multi-cloud. For single cloud environment, the paper elaborated from the perspectives of traditional heuristics, meta heuristics, and hybrid task scheduling algorithms. For federated cloud, hybrid cloud, and multi-cloud environments, the paper elaborate from the perspectives of workflow and independent task scheduling algorithms. Through comparisons, this paper summarized the advantages, disadvantages, and optimization performance of existing algorithms, and formed conclusive opinions and open questions, laying the foundation for future research on container clouds, data clouds, and algorithms that balanced resource allocation and task scheduling.

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Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.02.0076
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 10
Section: Survey
Pages: 2889-2895
Serial Number: 1001-3695(2023)10-002-2889-07

Publish History

[2023-05-12] Accepted Paper
[2023-10-05] Printed Article

Cite This Article

陈红华, 崔翛龙, 王耀杰. 基于多种云环境的任务调度算法综述 [J]. 计算机应用研究, 2023, 40 (10): 2889-2895. (Chen Honghua, Cui Xiaolong, Wang Yaojie. Summary of task scheduling algorithms based on multiple cloud environments [J]. Application Research of Computers, 2023, 40 (10): 2889-2895. )

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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