Multi-Resource Allocation for Cloudlet-Based cloud Computing

Abstract

Mobile cloud computing utilizing cloudlet is a develop technology to improve the quality of mobile services. In this paper, to improve overcome the main bottlenecks of the computation capability of cloudlet and the wireless capacity between mobile devices and cloudlet, we consider the multi-wealth allocation problem for the cloudlet environment with resource-intensive and latency sensitive mobile applications. The proposed multi-resource allocation planning increase the quality of mobile cloud service, in terms of the system throughput (the number of admitted mobile applications) and the service dormancy. We formulate the resource allocation copy as a semi-Markov decision process under the average cost criterion, and solve the optimization problem using linear programming technology. From reproduction result, it is marked that the system adaptively adjusts the allocation policy about how much resource to allocate and whether to utilize the distant cloudlet. Mobile Cloud Computing is an evolving technology that integrates the notation of cloud computing into the mobile environment. Smart phones are boon in the world of technology but they have certain protocols (e.g. battery life, network bandwidth, storage, energy) when working complex applications which require large computations. Using Cloud Computing in mobile phones, these rules can be addressed. Certain frameworks have been proposed past the years that can address the issues in cloudlet.