Context-Aware Integrated Scheme for Mobile Cloud Service Allocation

Abstract

This article proposes context-aware integrated scheme for mobile cloud service allocation, which can provide desirable cloud services to mobile cloud clients according to the mobile cloud contexts. The article makes use of various contexts information in the mobile cloud environment, such as the mobile cloud user's preferences, the battery levels and the parameters of cloud datacenter servers to improve the performance of mobile cloud. Interplay coupling of the mobile cloud users and the cloud datacenter supplier is used to achieve global optimization of the mobile cloud system. The article integrates energy-based service provisioning, cloud virtual resource allocation and dynamic load balancing. The integrated scheme can adapt to dynamic context information changes of the mobile cloud system such as device energy consumption, bandwidth and server load without compromising mobile application's quality of service. Based on the proposed model, the context-aware integrated mobile cloud service allocation algorithm is proposed, it uses the mobile cloud service profile to select the services among the available service suppliers to enhance the mobile cloud user's quality of experience. The efficiency of the context-aware integrated mobile cloud service allocation algorithm is tested by the experiments.