Technology of Information Security
|
584-587

Replica placement strategy based on glowworm swarm optimization

Li Jun
Hou Mengshu
School of Computer Science & Engineering, University of Electronic Science & Technology of China, Chengdu 611731, China

Abstract

In order to solve the problem of high access overhead to replicas, this paper proposed a replica placement algorithm based on discrete glowworm swarm optimization. Through mathematical mode establishment for user access overhead, this algorithm computed the fitness function of glowworm position, updated individual position and then obtained appropriate nodes for replica placement. It conducted several simulations and compared with the replica placement strategy based on ant algorithm. The results show that the proposed algorithm can select appropriate nodes for replica placement, and has a better convergence and reduces the replica access overhead.

Foundation Support

国家自然科学基金面上项目(61472067)
国家科技支撑计划资助项目(2013BAH33F02)
四川省科技计划资助项目(2013GZ0006)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0948
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Technology of Information Security
Pages: 584-587
Serial Number: 1001-3695(2019)02-058-0584-04

Publish History

[2019-02-05] Printed Article

Cite This Article

李君, 侯孟书. 基于萤火虫优化的副本放置方法 [J]. 计算机应用研究, 2019, 36 (2): 584-587. (Li Jun, Hou Mengshu. Replica placement strategy based on glowworm swarm optimization [J]. Application Research of Computers, 2019, 36 (2): 584-587. )

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  • 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.

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