Secure and Economical Multi-Cloud Storage Policy with NSGA-II-C.

Multi-cloud computing is an attractive technology for many reasons including user’s data security. This work offers a solution to the problem relative to Multi-Cloud Storage (MCS), i.e., how to allocate partial data among different cloud service providers based on multi-objective optimization while maintaining a high degree of security and performance at the minimal storage cost. Non-dominated Sorting Genetic Algorithm II with a special process of Combinations (NSGA-II-C), is adopted to solve the problem. NSGA-II-C has better performance of generational distance and diversity by comparing with MOEA/D and SPEA2 in solving the proposed problem based on the statistical analysis of experimental results. The proposed method is compared with the similar studies of MCS and single cloud storage. Experimental results show that the obtained optimal solution outperforms similar studies at security, cost and performance. In addition, the relations between objectives in the Pareto front are analyzed in detail.