LAUSR

Abstract To improve the reasonability of constructing distributed cloud storage system, a method of constructing distributed cloud storage system with minimum redundancy considering heterogeneity in heterogeneous environment is proposed. First, In the analysis of algorithm design, we need to consider the availability of data, which is in heterogeneous environments is developed. Because the computation of data availability is very complicated when the storage node grows, Monte Carlo is an effective method for data availability analysis, its main advantage is that it can reduce the complexity of the analysis framework calculation process. Secondly, since it is difficult to determine the optimal redundancy allocated on each host, a particle swarm optimization (PSO) based allocation method is proposed. Finally, The main feature of this algorithm in the process of data availability analysis is that the redundancy index of the algorithm is relatively small, which can improve the efficiency of the algorithm. Experimental results show that the proposed method can reduce data redundancy and reduce storage cost.