Paper Info
Title
Distributed Resource Selection in Grid Using Decision Theory
Abstract
Grid technology allows resource sharing among several entities, but selecting the best resource to run a specific job remains one of its main problems. The challenges for the best resource selection involve analysis of several factors such as prediction time to run a job, access restriction to resources, and cost to use resources. This paper presents a resource selection model using decision theory for combining these influential factors in the resource selection process. The model is based on a multi-attribute utility function that maximizes the user preference. This model forms part of a multi-agent system deploying distributed and parallel processing for job execution prediction, access policy verification, and resource selection models. All models of this paper were verified through experiments using real machines. They have presented appropriate functional behaviors and positive performance results.
Year
DOI
Venue
2007
10.1109/CCGRID.2007.42
Rio De Janeiro
Keywords
Field
DocType
best resource selection,specific job,decision theory,best resource,resource selection process,access restriction,job execution prediction,resource selection,access policy verification,resource sharing,resource selection model,model forms part,multi agent systems,multiagent systems,resource management,multi agent system,error probability,predictive models,resource allocation,grid computing,uncertainty,grid technology,parallel processing,distributed processing,middleware
Grid computing,Computer science,Parallel processing,Multi-agent system,Resource allocation,Decision theory,Shared resource,Grid,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-7695-2833-3
8
0.53
References 
Authors
8
3
Name
Order
Citations
PageRank
Lilian Noronha Nassif1182.23
Jose Marcos Nogueira2566.24
Flavio Vinicius de Andrade3100.92