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Cloud Storage provides users with storage space and make user friendly and timely acquire data, which is foundation of all kinds of cloud applications. However, there is lack of deep studies on how to optimize cloud storage aiming at improvement of data access performance. In this paper, mathematical description for cloud storage optimization is given and as a objective optimization problems which is solved by the proposed optimized A algorithm, as a result the data is distributed in appropriate nodes with the best efficiency. The experimental results demonstrate the performance of the algorithms is feasible in reducing MakeSpan, and the optimization can produce a storage strategy which is keeping with the real conditions. Besides, lastly, the time limitation of A algorithm is investigated in experiments.
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