Security-Aware Resource Allocation for Mobile Cloud Computing Systems

Abstract

In this paper, a novel resource allocation algorithm is proposed for secure mobile cloud computing systems. The mobile request for using cloud resource is classified according to its level of security requirement and the amount of required resource for remote computing. We formulate the resource allocation problem as a semi-Markov decision process under the average reward criterion, where the average reward of states is expected to be optimized. Through maximizing the long-term reward while meeting the system requirements of the blocking probability and the amount of resource requested with a security guarantee, the optimal resource allocation policy is calculated by using the linear programming. Simulation results demonstrate that the system adaptively modifies the resource allocation policy for cloud computing, and determines whether to utilize extra resource for security implementation according to the mobile request type, the current traffic, and the cloud resource availability.