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Exploring bidding strategies for market-based scheduling

dc.contributor.authorReeves, Daniel M.
dc.contributor.authorWellman, Michael P.
dc.contributor.authorMacKie-Mason, Jeffrey K.
dc.contributor.authorOsepayshvili, Anna V.
dc.date.accessioned2007-04-10T19:46:38Z
dc.date.available2007-04-10T19:46:38Z
dc.date.issued2003-06
dc.identifier.citationDecision Support Systems 39(1): 67--85 (March 2005) <http://hdl.handle.net/2027.42/50434>en
dc.identifier.urihttps://hdl.handle.net/2027.42/50434
dc.description.abstractA market-based scheduling mechanism allocates resources indexed by time to alternative uses based on the bids of participating agents. Agents are typically interested in multiple time slots of the schedulable resource, with value determined by the earliest deadline by which they can complete their corresponding tasks. Despite the strong complementarity among slots induced by such preferences, it is often infeasible to deploy a mechanism that coordinates allocation across all time slots. We explore the case of separate, simultaneous markets for individual time slots, and the strategic problem it poses for bidding agents. Investigation of the straightforward bidding policy and its variants indicates that the efficacy of particular strategies depends critically on preferences and strategies of other agents, and that the strategy space is far too complex to yield to general game-theoretic analysis. For particular environments, however, it is often possible to derive constrained equilibria through evolutionary search methods.en
dc.format.extent480982 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen
dc.titleExploring bidding strategies for market-based schedulingen
dc.typeArticleen_US
dc.subject.hlbsecondlevelInformation and Library Science
dc.subject.hlbtoplevelSocial Sciences
dc.contributor.affiliationumInformation, School ofen
dc.contributor.affiliationumcampusAnn Arboren
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/50434/1/proof-dexter-dss.pdfen_US
dc.owningcollnameInformation, School of (SI)


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