A Novel Approach for Optimal Data Uploading to the Distributed Cloud Storage Systems

With the increasing demand for cloud computing, the cloud storage systems are becoming more attractive to companies for their information processing, because of their scalability and low cost. Moreover, for companies having multiple data centers in the different regions to handle and to access big data objects is one of the major problems, (as far as uploading and downloading to/from remote storages are concerned). One of the proposed solutions to this problem is distributed storage: i.e. to slice large objects into small chunks which are then uploaded to different cloud storages. As will be seen, this problem can be formalized as a constrained combinatorial optimization. In this paper, an optimal uploading strategy is developed to meet the various reliability criteria by solving the underlying combinatorial optimization.