计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (9): 102-104.DOI: 10.3778/j.issn.1002-8331.2009.09.029

• 网络、通信、安全 • 上一篇    下一篇

融合PSO与ACS的网格资源分配研究

梁正友,支成秀   

  1. 广西大学 计算机与电子信息学院,南宁 530004
  • 收稿日期:2008-01-31 修回日期:2008-05-08 出版日期:2009-03-21 发布日期:2009-03-21
  • 通讯作者: 梁正友

Combination algorithm of POS and ACS for grid resource allocation

LIANG Zheng-you,ZHI Cheng-xiu   

  1. School of Computer and Electronic Information,Guangxi University,Nanning 530004,China
  • Received:2008-01-31 Revised:2008-05-08 Online:2009-03-21 Published:2009-03-21
  • Contact: LIANG Zheng-you

摘要: 资源分配和任务调度是网格计算的一个关键问题之一。提出一种融合离散粒子群优化算法和蚁群算法的新型算法来解决网格资源分配问题。该算法通过在粒子群算法中引入蚂蚁算法,可有效克服粒子群算法后期的局部搜索能力差和蚁群算法前期盲目搜索的缺陷。理论分析及模拟实验表明该算法具有良好的性能。

关键词: 网格计算, 任务调度, 资源分配, 粒子群算法, 蚁群算法

Abstract: One key problem of grid computing is resource allocation.A combination algorithm of discrete particle swarm optimization algorithm(PSO) and ant colony algorithm(ACS) for grid resource allocation is presented.Combining PSO and ACS,the proposed algorithm can effectively avoid the local optima of PSO algorithm and the blindness search of ant colony algorithm.Theories analytical and simulation experiment show the algorithm conducts good performance.

Key words: grid computing, task scheduling, resource allocation, particle swarm algorithm, ant colony algorithm