Journal article

An auction mechanism for cloud spot markets

AN Toosi, K Vanmechelen, F Khodadadi, R Buyya

ACM Transactions on Autonomous and Adaptive Systems | Published : 2016

Abstract

Dynamic forms of resource pricing have recently been introduced by cloud providers that offer Infrastructure as a Service (IaaS) capabilities in order to maximize profits and balance resource supply and demand. The design of a mechanism that efficiently prices perishable cloud resources in line with a provider's profit maximization goal remains an open research challenge, however. In this article, we propose the Online Extended Consensus Revenue Estimate mechanism in the setting of a recurrent, multiunit and single price auction for IaaS cloud resources. The mechanism is envy-free, has a high probability of being truthful, and generates a near optimal profit for the provider. We combine the ..

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University of Melbourne Researchers