RESOURCE ALLOCATION BASED ON ANT COLONY OPTIMIZATION IN CLOUD COMPUTING

摘要：

　　Concerning the defects that the Ant Colony Optimization Algorithm (ACO) is easy to fall into local optimum and slow search speed when solving resource allocation in cloud computing environment,the algorithm was improved combined with the advantages of global convergence of the genetic algorithm in this paper.In the each iteration of the ant colony optimization,the genetic algorithm is introduced,thereby reducing the possibility of local optimum and speeding up convergence rate,which is tested in the cloud computing simulation platform CloudSim.Experimental results obtained showed that the improved algorithm can reduce the average completion time of resource allocation in the cloud computing environment and improve the resource utilization.

关键词： Cloud computing Resource allocation Ant colony optimization Genetic algorithm

作者: Jun Wu Tingting Jia

作者单位: Institute of Network Technology Beijing University of Posts and Telecommunications,Beijing 100876,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 657-660

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）