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 :
بازگشت