Mobile cloud computing (MCC) enables mobile devices to outsource theircomputing, storage and other tasks onto the cloud to achieve more capacitiesand higher performance. One of the most critical research issues is how thecloud can efficiently handle the possible overwhelming requests from mobileusers when the cloud resource is limited. In this paper, a novel MCCadaptive resource allocation model is proposed to achieve the optimalresource allocation in terms of the maximal overall system reward by considering both cloud and mobile devices. To achieve this goal, we modelthe adaptive resource allocation as a semi-Markov decision process(SMDP) to capture the dynamic arrivals and departures of resource requests. Extensive simulations are conducted to demonstrate that our proposed modelcan achieve higher system reward and lower service blocking probabilitycompared to traditional approaches based on greedy resource allocationalgorithm. Performance comparisons with various MCC resource allocationschemes are also provided.
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