DocumentCode :
477807
Title :
Grid Resource Organization and Discovery Based on Hyper Topology Space
Author :
Lu, Bin ; Chen, Juan
Author_Institution :
Dept. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding
Volume :
2
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
462
Lastpage :
466
Abstract :
Resource management is one of the basic and key aspects in grid computing, especially in resource organization and discovery, which are very important for good sharing and using of Grid resources. This paper reviews the mechanism and architecture of Grid resource management model from hyper topology space, and researches how to describe resources, abstract resources, provide unified system images and discovering resources. And then a formal model of Grid resources with three layers, primitive resource layer, aggregating resource layer and service resource layer, is presented. Each layer has different forms and topology structures. Upper layer can be formed from lower one by the proposed method of aggregating class reactions. Over the organization of the model, the scheme of resource discovery is also described. Analyses show that this approach could enhance the usability, modularity, transparency and automation of Grid resource management system.
Keywords :
grid computing; reviews; topology; aggregating resource layer; grid computing; grid resource organization; hyper topology space; primitive resource layer; resource discovery; resource management; reviews; service resource layer; Computer architecture; Computer science; Fuzzy systems; Grid computing; Power system modeling; Power systems; Resource management; Space technology; Topology; Usability; Grid Computing; hyper topology space; resource discovery; resource organization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Shandong
Print_ISBN :
978-0-7695-3305-6
Type :
conf
DOI :
10.1109/FSKD.2008.330
Filename :
4666160
Link To Document :
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