An Improved Genetic Algorithm for QoS-based Grid Resource Selection Optimization Model

摘要：

In order to provide high quality of service,rational scheduling and resource allocation are needed when a great many of tasks requesting grid resources.By qualitifying some important properties of Grid QoS and maximizing cost-performance ration of the system,it provides a grid resource selection optimization model based on GA-ASC,and introduces the flow of the algorithm.Finally,it testifies the validity of this model by an emulation experiment.

关键词： grid resource selection QoS genetic algorithm ant colony system algorithm

作者: Liu Juefu LuXia

作者单位: School of Information Engineering,East China Jiaotong University Nanchang City,Jiangxi Province,China

会议类型: 国际会议

会议名称: 2009 International Conference on Information,Electronic and Computer Science(2009 国际信息、电子与计算机工程学术会议)

会议地点: 青岛

会议语种:英文

页码: 414-417

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）