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Algorithm Research & Explore
|
3022-3026

Cloud computing task scheduling algorithm based on IFWA-ABC

Chen Xuan1
Wang Dawei1
Wang Changliang1
Long Dan2
1. Zhejiang Industry Polytechnic College, Shaoxing Zhejiang 312000, China
2. Zhejiang University, Hangzhou 310058, China

Abstract

Due to the low efficiency of cloud computing resource task scheduling and uneven resource allocation, this paper combined the improved fireworks algorithm and artificial bee colony algorithm into IFWA-ABC. Firstly, this paper described the cloud computing resource task scheduling. Secondly, it used the chaotic reverse learning and Cauchy distribution to optimize the FWA initialization. It optimized the radii of the core fireworks and the non-core fireworks respectively. It obtained the optimal individuals in the FWA by improving the ABC algorithm. Finally, it used the IFWA-ABC algorithm for cloud computing task scheduling. In the simulation experiment, IFWA-ABC has obvious advantages compared with FWA and ABC in terms of execution time, consumption cost and energy consumption index, which can effectively improve cloud computing resource allocation efficiency.

Foundation Support

国家自然科学基金资助项目(LQ18A010003,11426205)
绍兴市科技局资助项目(2015B70013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0213
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Algorithm Research & Explore
Pages: 3022-3026
Serial Number: 1001-3695(2019)10-032-3022-05

Publish History

[2019-10-05] Printed Article

Cite This Article

陈暄, 王大伟, 王常亮, 等. 基于IFWA-ABC的云计算资源任务调度算法的研究 [J]. 计算机应用研究, 2019, 36 (10): 3022-3026. (Chen Xuan, Wang Dawei, Wang Changliang, et al. Cloud computing task scheduling algorithm based on IFWA-ABC [J]. Application Research of Computers, 2019, 36 (10): 3022-3026. )

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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