Dynamic resource selection heuristics for a non-reserved bidding-based Grid environment

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/51538

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51538

Title:	Dynamic resource selection heuristics for a non-reserved bidding-based Grid environment
Authors:	Wang,CM;Chen,HM;Hsu,CC;Lee,J
Contributors:	資訊工程學系
Date:	2010
Issue Date:	2012-03-27 18:55:33 (UTC+8)
Publisher:	國立中央大學
Abstract:	A Grid system is comprised of large sets of heterogeneous and geographically distributed resources that are aggregated as a virtual computing platform for executing large-scale scientific applications. As the number of resources in Grids increases rapidly, selecting appropriate resources for jobs has become a crucial issue. To avoid single point of failure and server overload problems, bidding provides an alternative means of resource selection in distributed systems. However, under the bidding model, the key challenge of resource selection is that there is no global information system to facilitate optimum decision-making; hence requesters can only obtain partial information revealed by resource providers. To address this problem, we propose a set of resource selection heuristics to minimize the turnaround time in a non-reserved bidding-based Grid environment, while considering the level of information about competing jobs revealed by providers. We also present the results of experiments conducted to evaluate the performance of the proposed heuristics. (C) 2009 Elsevier B.V. All rights reserved.
Relation:	FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING-THEORY METHODS AND APPLICATIONS
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	355	View/Open

社群 sharing

Loading...