会议专题

Research on multi-objective dynamic cloud service strategy

  Most of the existing cloud service strategies are scheduling algorithm based on users satisfaction or QoS.The former does not consider physical resource utilization, while the latter ignores the satisfaction of the users experience.This paper proposes a multi-objective cloud service model, which is based on the users dynamic demand and resource utilization.In addition, it designs a multi-objective optimization algorithm based on improved PSO algorithm (ADW-PSO) to solve the model.To evaluate the performance of proposed algorithm, we extend cloudsim package to simulate the cloud environment, and compare with the traditional PSO algorithm and the double adaptive GA algorithm.The simulation results show that the ADW-PSO algorithm outperforms other two algorithms on users experience and resource utilization, which can improve the quality of cloud services obviously.

Multi-objective Dynamic PSO algorithm Cloud service

Chun-Yan LIU Cheng-Ming ZOU

Department of Information Engineering Wuhan University of Technology HuaXia College Wuhan, China School of Computer Science and Technology Wuhan University of Technology Wuhan, China

国际会议

The 13th Web Information Systems and Applications Conference(第十三届全国web信息系统及其应用学术会议)(WISA2016)、The 1st Symposium on Big Data Processing and Analysis)( BDPA 2016)第一届全国大数据处理与分析学术研讨会、The 1st Workshop on Information System Security)(ISS2016)(第一届全国信息系统安全研讨会

武汉

英文

79-82

2016-09-23(万方平台首次上网日期,不代表论文的发表时间)