Intelligent Workload Management of Computing Resource Allocation For Mobile Cloud Computing

Mobile cloud computing (MCC) allows mobile devices to source their computing, storage and alternative tasks onto the cloud to realize a lot of capacities and better performance. one in all the foremost important analysis problems is however the cloud will expeditiously handle the attainable overwhelming requests from mobile users once the cloud resource is proscribed. during this paper, a unique MCC adaptative resource allocation model is projected to realize the optimum resource allocation in terms of the greatest overall system reward by considering each cloud and mobile devices. to realize this goal, we have a tendency to model the adaptative resource allocation as a semi-Markov decision process (SMDP) to capture the dynamic arrivals and departures of resource requests. Intensive simulations square measure conducted to demonstrate that our projected model can do higher system reward and lower service obstruction likelihood compared to ancient approaches supported greedy resource allocation algorithmic program. Performance comparisons with numerous MCC resource allocation schemes are provided.