UNIFORM SIMILARITY MEASURES IN GRID RESOURCE DISCOVERY

摘要：

Resource discovery is one of the basic and key aspects in Grid Computing, which provides the suitable resources satisfying the requirement of users applications. At first, this paper reviews some novel similarity measures and presents an uniform one to determine the similarity between two objects, especially two Grid resources. The resource discovery of Grid is just based on the proposed similarity measures. And then a formal model of Grid resources with three layers is proposed for effectively and efficiently organizing and discovering all kinds of heterogeneous resources. This is helpful to reduce the cost of time and correspondence in discovering resources through describing resources, abstracting resources and providing unified system images. Thirdly, over the organization of resources, the scheme of resource discovery is also described. Finally, analyses show that this approach is more feasible than the pure distance-based ones.

关键词： Grid computing Similarity measures Resource organization Resource discovery Hyper topology space

作者: BIN LU JUAN CHEN

作者单位: Department of Computer Science & Technology, North China Electric Power University, Baoding 071003, Department of Economic Management, North China Electric Power University, Baoding 071003, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2678-2682

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）