Abstract
Auction-based resource allocation and pricing mechanisms have attracted substantial research interests to enhance the utility gain and fairness of cloud platforms. A fundamental problem in cloud resource auction design that has not been fully addressed is how to ensure the timely execution of applications while allocation decisions have to be made online. Adding to the complexity of designing a truthful and efficient mechanism is that application requests are normally heterogeneous in resource demand and execution requirement. In this paper, we present a novel online combinatorial auction mechanism for deadline- aware multi-resource allocation for cloud platforms, which achieves both strategy-proofness and approximate efficiency on social welfare.
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