2012 · 32 citations · 5 references
ComputingCloud ComputingEconomicsAuction TheoryCloud EconomicsCloud Performance OptimizationAuction DesignCloud Resource ManagementCost OptimizationResource ProvisioningResource SchedulingAuction AlgorithmsAuction OptimizationCloud Resource AllocationElectronic Reverse AuctionOptimal AllocationOptimal Resource AllocationResource Allocation AlgorithmsUser Satisfaction
In this paper, certain microeconomic methods are introduced to solve the problem of management and allocation of resources in the cloud environment. By adding the idea of batch matching into the reverse auction, a reverse batch matching auction mechanism is proposed. Based on the auction, the strategy of twice-punishment and the pursuit of service quality can effectively prevent the occurrence of trading fraud. Three evaluation criteria, including the market efficiency, user satisfaction and service quality, are used as the optimization objectives, and the immune evolutionary algorithm is applied to find the optimal resource allocation solution. The simulation results have shown that the proposed mechanism is both feasible and effective.
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Rodrigo N. Calheiros, Rajiv Ranjan, Anton Beloglazov et al. · Software Practice and Experience · 2010 · 4.9K citations · Full text
Cloud Computing: The New Frontier of Internet Computing
George Pallis · IEEE Internet Computing · 2010 · 299 citations
A Knowledge-based Continuous Double Auction Model for Cloud Market
Shifeng Shang, Jinlei Jiang, Yongwei Wu et al. · 2010 · 27 citations