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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 11
3325-3329

Research on cloud computing MapReduce model based on IFOA-GA task scheduling algorithm

Chen Xuan1
Pan Chunping1
Long Dan2
1. Zhejiang Industry Polytechnic College, Shaoxing Zhejiang 312000, China
2. Zhejiang University, Hangzhou 310058, China
DOI: 10.19734/j.issn.1001-3695.2018.06.0307

Abstract

Aiming at the problem of low efficiency and low utilization rate of traditional cloud computing task scheduling algorithms, this paper proposed an improved algorithm using the improved fruit fly optimization algorithm(IFOA) and genetic algorithm(GA) for task scheduling. Firstly, the task scheduling was converted into a DAG(directed acyclic graph), and the task scheduling sequence was simplified through the Kruskal algorithm. Secondly, the population of Drosophila algorithm was initialized using orthogonal arrays and quantization techniques. It processed the boundaries of the Drosophila algorithm, dynamically adjusted the exploration step size, and used the GA algorithm to process the individual selection. Finally, it used the fusion algorithm IFOA-GA for cloud computing task scheduling in the simulation platform. Compared with IGA, IFOA and IPSO algorithm, it have certain advantages in the comparison of four indexes of QoS, which shows that the IFOA-GA algorithm can effectively improve cloud computing scheduling efficiency.

Foundation Support

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

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0307
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Algorithm Research & Explore
Pages: 3325-3329
Serial Number: 1001-3695(2019)11-028-3325-05

Publish History

[2019-11-05] Printed Article

Cite This Article

陈暄, 潘春平, 龙丹. 基于IFOA-GA任务调度算法在云计算MapReduce模型中的研究 [J]. 计算机应用研究, 2019, 36 (11): 3325-3329. (Chen Xuan, Pan Chunping, Long Dan. Research on cloud computing MapReduce model based on IFOA-GA task scheduling algorithm [J]. Application Research of Computers, 2019, 36 (11): 3325-3329. )

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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