- Both limited main memory size and memory interference are considered as the major bottlenecks in virtualization environments. Memory de-duplication, detecting pages with same content and being shared into one single copy, reduces memory requirements; memory partition, allocating each virtual machine according to task size, reduces memory interference among virtual machines to improve performance .In this proposed techniques used to improve a coordinate memory de-duplication and security for improving performance in virtualization. The proposed algorithm for AES and Homomorphic encryption used to improve the security in cloud computing. The experiment focus on Text, Image, Video, The cloud security improves the Throughput and Memory Usage, Execution Time. We present an efficient data distribution and memory de-duplication system in Cloud computing, which allows cloud users to securely store their data in the cloud storage, and flexibly share their data with friends. We leverage several cryptographic primitives to achieve data privacy, data integrity, dynamical data modification and deletion, and flexible data distribution. The cloud computing and information security with privacy protection, there is a need to increase a usage of security algorithms into data systems and processes. Homomorphic Encryption (HE) is the encryption scheme which accepts encrypted inputs and performs blind processing to achieve data confidentiality. In this proposed system for AES and Homomorphic Encryption. It can be applied to perform complex operations on encrypted data. The proposed scheme solves the problem of large cipher text from Homomorphic Encryption.

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