Abstract
Abstract Cloud storage is an emerging paradigm that offers on-demand, flexible, and elastic computational and storage services for the terminal users. When the large amount of data increases dramatically, the storage efficiency of the system would be decreased seriously. In this paper a new method of SReCSM(Searchable Re-encryption Cloud Storage Method) based on Markov chain is proposed. It predicts periodically by using the steady Markov strategy in stages and easy to select the optimal storage node. The data is scheduled to store in the node with the lowest cost in real time, and the node is selected to implement cloud storage access on mobile terminal. By using searchable re-encryption method, SReCSM has increased the storage requirement flexibility and minimize cost and searching time. And then the reliability model of SReCSM is established. Simulation results show that SReCSM introduced in this paper has the ability to predict accurately when the size of the data is different. Moreover, the influence of storage efficiency is reduced effectively through SReCSM when different size of the data is stored in storage nodes regardless of the storage cost. It is verified that the SReCSM based on Markov chain has higher reliability.
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