Bio-inspired Application Scheduling Algorithm for Mobile Cloud Computing

Abstract

Mobile Cloud Computing (MCC) enables the mobile devices to offload their applications to the cloud, and thus greatly enriches the types of applications on mobile devices and enhances the quality of service of the applications. Under various circumstances, researchers have put forward several MCC architectures. However, how to reduce the response latency while efficiently utilizing the idle service capacities of the mobile devices is still a challenge. This paper firstly gives a definition of MCC. Secondly, by extending the Cloudlet architecture, a Hybrid Local Mobile Cloud Model (HLMCM) is presented. Thirdly, from two different angles, we formulate the application scheduling problems in HLMCM and bring forward the scheduling algorithms. Finally, the efficiency of the proposed algorithms is validated by simulation experiments.