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Algorithm Research & Explore
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1633-1637,1651

Offloading decision algorithm for multiple service selection in mobile cloud environment

He Yuande1
Huang Kuifeng2
1. Language Experiment Teaching Center, Southwest Minzu University, Chengdu 610041, China
2. Chongqing Three Gorges Medical College, Chongqing 404120, China

Abstract

Mobile cloud computing can use the computation offloading to improve the energy efficiency of mobile devices and the execution delay of applications. However, in the face of the multiple service selection from cloud, the computation offloading decision is a NP problem. In order to address this problem, this paper designed a genetic algorithm to find the best application partitioning decision solution for computation offloading. In genetic population initialization, this algorithm combined of predefined and random chromosomes to initialize the population, which could reduce the generation of the inefficient chromosomes. At the same time, the algorithm designed a specific fitness function based on Hamming distance function for the predefined reserved population, which could better measure the difference between chromosomes. The population crossover used respectively the inbreeding and crossbreeding to enrich individual species. The algorithm used the modified genetic operations to reduce the ineffective solutions and obtain the best feasible solution in a reasonable time. It evaluated the efficiency of the proposed algorithm using graphs of real mobile applications in simulation experiments. The evaluated conclusions denote that this designed algorithm has a better performance than the comparision algorithms on the application execution energy, the execution time and the overall weight cost.

Foundation Support

四川省科技厅项目(2016ZR0149)
中央高校基本科研业务费专项资金资助项目(2016NZYQN4)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.12.0876
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 6
Section: Algorithm Research & Explore
Pages: 1633-1637,1651
Serial Number: 1001-3695(2020)06-005-1633-05

Publish History

[2020-06-05] Printed Article

Cite This Article

何远德, 黄奎峰. 移动云环境面向多重服务选择的计算卸载算法 [J]. 计算机应用研究, 2020, 37 (6): 1633-1637,1651. (He Yuande, Huang Kuifeng. Offloading decision algorithm for multiple service selection in mobile cloud environment [J]. Application Research of Computers, 2020, 37 (6): 1633-1637,1651. )

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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