Context-Aware Distributed Storage in Mobile Cloud Computing

Abstract

We improve data access efficiency in mobile cloud storage by exploring users' context information. Specifically, we optimize data reading and writing on mobile devices from/to distributed cloud storage according to network condition, user mobility pattern, and data access preference. We propose a Reed-Solomon erasure code based context-aware distributed storage system. Then, a mixed integer linear programming (MILP) is proposed to optimize the system efficiency. The proposed method is verified through various simulation scenarios.