Context-Aware Distributed Storage in Mobile Cloud Computing

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.