Efficient Resource Allocation And Avoid Traffic Redundancy Using Chunking And Indexing
Cloud computing is used to reduce the traffic. It will be used to avoid redundancy. So that It has been improved the server efficiency and reduce the workload. Previously they used Rabin fingerprinting scheme. By using this scheme server will not work efficiently. The server was used for uploading, downloading, accessing the data in single server. The traffic redundancy was occurred. So, here lightweight chunking can be used for avoiding the traffic redundancy. And more than one server can be used. So that I can improve the server efficiency and reduce the workload. This can applicable in very large area. It support all TCP based applications and network devices. Analyze prediction for cloud users, using traffic traces from various sources. Data transfer costs is an important issue when trying to minimize costs Consequently, cloud customers, applying a judicious use of the cloud’s resources, are motivated to use various traffic reduction techniques, in particular traffic redundancy elimination (TRE), for reducing bandwidth costs. I propose a new computationally lightweight chunking scheme. Lightweight chunking is a new alternative for Rabin fingerprinting traditionally used by RE applications. And Indexing is using for identifying the relevant data. For that, Encryption and decryption is using. By using this technique easily can identify the redundancy.
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