期刊名称：International Journal of Distributed Sensor Networks
印刷版ISSN：1550-1329
电子版ISSN：1550-1477
出版年度：2013
卷号：2013
DOI：10.1155/2013/181426
出版社：Hindawi Publishing Corporation
摘要：Mobile cloud computing (MCC) enables mobile devices to outsource their
computing, storage and other tasks onto the cloud to achieve more capacities
and higher performance. One of the most critical research issues is how the
cloud can efficiently handle the possible overwhelming requests from mobile
users when the cloud resource is limited. In this paper, a novel MCC
adaptive resource allocation model is proposed to achieve the optimal
resource allocation in terms of the maximal overall system reward by considering both cloud and mobile devices. To achieve this goal, we model
the 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 model
can achieve higher system reward and lower service blocking probability
compared to traditional approaches based on greedy resource allocation
algorithm. Performance comparisons with various MCC resource allocation
schemes are also provided.
