A MULTI-OBJECTIVE SCHEDULING STRATEGY BASED ON MOGA IN CLOUD COMPUTING ENVIRONMENT

摘要：

　　Cloud service providers usually utilize the resource in the data center to offer cloud computing service which needs to satisfy the demand of different customers.The load among the physical servers in the data center needs to be balanced to avoid hotspot and improve resource utility.In this paper we present a load balancing system and design an algorithm base on MOGA to get a new mapping relationship between physical machines and VMs.By a set of migrating operations of VMs the problem of load imbalance are solved.Through comprehensive simulations,the experimental results demonstrate that our proposed approaches can significantly improve the resource utilization when system load is stable variant.

关键词： Virtual machine Multi-objective genetic algorithm Mapping policy Load balance

作者: Zhou Lei Jinfeng Xiang Zhebo Zhou Feng Duan Yu Lei

作者单位: School of Computer Engineering and Science,Shanghai University,Shanghai,200072,China Department of Computer Science and Engineering,The University of Texas at Arlington,Arlington,TX 760

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: 504-509

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）