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中文摘要：
针对云计算环境的隐私保护问题，采用加密数据存储是一个可行的选择。为了提高数据加密解密的速度，结合云环境的并行计算特点和AES加密算法，设计了一种并行AES加密方案，给出了具体的并行算法，分析了算法的性能，并通过实验证明了方法的有效性。实验结果表明该并行算法在MapReduce模式下，在16核4节点构成的云计算集群上能够达到15．9的加速比，总加密时间减少了72．7％。
英文摘要：
In order to protect privacy of consumers in cloud computing, encrypted data storage is a feasible way. To speed up process of eneryption and decryption, a parallel Advanced Encryption Standard （AES） encryption algorithm was proposed taking the characteristic of multi-nodes in cloud computing into account. The performance of the algorithm was analyzed in theory, and then experiments were conducted to demonstrate the efficiency of the designed algorithm. The experimental results show that the speed-up radio of the proposed encryption scheme can reach 15.9, and the total time cost of AES encryption can be reduced by 72.7% on the cloud cluster consisting of 4 compute nodes of total 16 CPUs.
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