DocumentCode
3592434
Title
Uniform similarity measures in Grid resource discovery
Author
Lu, Bin ; Chen, Juan
Author_Institution
Dept. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding
Volume
5
fYear
2008
Firstpage
2678
Lastpage
2682
Abstract
Resource discovery is one of the basic and key aspects in grid computing, which provides the suitable resources satisfying the requirement of userspsila 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.
Keywords
grid computing; grid computing; grid resource discovery; heterogeneous resources; unified system images; uniform similarity measures; Costs; Extraterrestrial measurements; Grid computing; Information retrieval; Machine learning; Power measurement; Power systems; Taxonomy; Topology; Tree graphs; Grid computing; Hyper topology space; Resource discovery; Resource organization; Similarity measures;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620861
Filename
4620861
Link To Document