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dc.contributor.authorKang, Laura
dc.contributor.authorParkes, David C.
dc.date.accessioned2010-04-20T14:28:51Z
dc.date.issued2007
dc.identifier.citationKang, Laura and David C. Parkes. 2007. A decentralized auction framework to promote efficient resource allocation in open computational grids. In Proceedings, Joint Workshop on The Economics of Networked Systems and Incentive-Based Computing: June 11, 2007, San Diego, CA, ed. D. Grosu, R. Mahajan, R. Sami. New York, N.Y.: Association for Computing Machinery.en_US
dc.identifier.isbn1595930493en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:3967566
dc.description.abstractComputational grids enable the sharing, aggregation, and selection of (geographically distributed) computational resources and can be used for solving large scale and data intensive computing applications. Computational grids are an appealing target application for market-based resource allocation especially given the attention in recent years to “virtual organizations ” and policy requirements. In this paper, we present a framework for truthful, decentralized, dynamic auctions in computational grids. Rather than a fullyspecified auction, we propose an open, extensible framework that is sufficient to promote simple, truthful bidding by endusers while supporting distributed and autonomous control by resource owners. Our auction framework incorporates resource prediction in enabling an expressive language for end-users, and highlights the role of infrastructure in enforcing rules that balance the goal of simplicity for end users with autonomy for resource owners. The technical analysis leverages simplifying assumptions of “uniform failure” and “threshold-reliability” beliefs.en_US
dc.description.sponsorshipEngineering and Applied Sciencesen_US
dc.language.isoen_USen_US
dc.publisherAssociation for Computing Machineryen_US
dc.relation.hasversionhttp://www.eecs.harvard.edu/econcs/pubs/netecon_kang.pdfen_US
dash.licenseLAA
dc.titleA Decentralized Auction Framework to Promote Efficient Resource Allocation in Open Computational Gridsen_US
dc.typeConference Paperen_US
dc.description.versionAccepted Manuscripten_US
dash.depositing.authorParkes, David C.
dc.date.available2010-04-21T07:31:13Z
dash.contributor.affiliatedParkes, David


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