2012
DOI: 10.4304/jcp.7.1.65-75
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A Game Theoretic Resource Allocation Model Based on Extended Second Price Sealed Auction in Grid Computing

Abstract: In resource-limited environment, grid users compete for limited resources, and how to guarantee tasks’ victorious probabilities is one of the most primary issues that a resource scheduling model cares. In order to guarantee higher task’s victorious probabilities in grid resources scheduling situations, a novel model, namely ESPSA (Extended Second Price Sealed Auction), is proposed. The ESPSA model introduces an analyst entity, and designs analyst’s prediction algorithm based on Hi… Show more

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Cited by 15 publications
(11 citation statements)
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“…Experiment employs GridSim [14] simulation toolkit to simulate experiment about the grid resource discovery algorithm BC-DIS and grid resource discovery algorithm based on flooding [15]. Use the JDK and JCreator as a programming environment.…”
Section: The Experimental Evaluationmentioning
confidence: 99%
“…Experiment employs GridSim [14] simulation toolkit to simulate experiment about the grid resource discovery algorithm BC-DIS and grid resource discovery algorithm based on flooding [15]. Use the JDK and JCreator as a programming environment.…”
Section: The Experimental Evaluationmentioning
confidence: 99%
“…The algorithm was based on a class of games called Bayesian Stackelberg. Sun Weifeng et al [14] proposed a game theoretic resource allocation model in grid computing. The model guaranteed higher tasks' victorious probabilities in grid resources scheduling situations.…”
Section: Related Workmentioning
confidence: 99%
“…In network environment, resource between nodes or service interaction often exhibits a game behavior [16][17][18][19][20][21][22][23]. Automated trust negotiation is a dynamic game process of incomplete information for both parties to exchange certificate or resource, select the appropriate negotiation strategy and be mutually authorized.…”
Section: A Characteristics Of Game For Interactionmentioning
confidence: 99%