DocumentCode :
1930785
Title :
Resource Discovery Using PageRank Technique in Grid Environment
Author :
Hamid, Noorisyam ; Haron, Fazilah ; Yong, Chan Huah
Author_Institution :
Universiti Sains Malaysia, Malaysia
Volume :
1
fYear :
2006
fDate :
16-19 May 2006
Firstpage :
135
Lastpage :
140
Abstract :
The grid deals with large scale and ever-expanding environment which contains million of users and resources. For this reason, resource selection has been a challenging task especially in meeting user’s demand for a quality of service (QoS). A quality of service is the ability to serve a job by providing quality and reliable resource in fulfilling the user’s need. Quality and reliable resource selections naturally yield excellent and quality results. The background of the users and where the resource belongs to are important in determining the quality of a resource. This paper concerns with efficient and quality-based resource discovery using Condor ClassAd and PageRank technique in order to achieve a quality resource matching. The paper discusses how quality of users and resources are determined and considered in the discovery process prior to allocating jobs to resources.
Keywords :
Distributed computing; Grid computing; Large-scale systems; Processor scheduling; Quality of service; Resource management; Search engines; Web pages; Web sites; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing and the Grid, 2006. CCGRID 06. Sixth IEEE International Symposium on
Conference_Location :
Singapore
Print_ISBN :
0-7695-2585-7
Type :
conf
DOI :
10.1109/CCGRID.2006.87
Filename :
1630807
Link To Document :
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