Auction allocation of computing resources

Authors:
Ross A. Gagliano;Martin D. Fraser;Mark E. Schaefer
Affiliations:
Dept. of Mathematics and Computer Science, Georgia State University, Atlanta, GA;Dept. of Mathematics and Computer Science, Georgia State University, Atlanta, GA;Dept. of Mathematics and Computer Science, Georgia State University, Atlanta, GA
Venue:
Communications of the ACM
Year:
1995

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Abstract

Standard methods for allocating computing resources normally employ schedulers and either queue or priority schemes. Alternative methods utilizing marketlike processes are being investigated, with direct applicability to evolving distributed systems. In this article, we present results of simulations of an auction allocation is which computing tasks are provided sufficient intelligence to acquire resources by offering, bidding, and exchanging them for funds.