Efficient Load-Balancing Aware Cloud Resource Scheduling for Mobile User

Abstract

The paper proposes an efficient load-balancing aware cloud resource scheduling approach for mobile users. The proposed approach augments local cloud service pools with public cloud to increase the probability of meeting the service level agreements. The proposed problem is divided by public cloud service scheduling and local cloud service scheduling. The system status information is used in the hybrid mobile cloud system such as the preferences of mobile applications, energy, server load in cloud data center to improve resource utilization and quality of experience of mobile user. Therefore, the system status of hybrid mobile cloud is monitored continuously. The mathematical model of the system and optimization problem is given. An example for hybrid cloud-based mobile multimedia application is also presented. Through extensive experiments, the paper evaluates our algorithm and other approaches from the literature under different conditions. The results of the experiments show our approach has better performance than the approaches from the literature.