SECURITY AND SERVICE VALIDATION IN CLOUD USING TRAFFIC REDUNDANCY ELIMINATION MODEL

Abstract

The non-redundant data is identified and using triple DES data chunks are encrypted and sent to the cloud for storage In a public cloud computing model band size is latest priced in a pay-as-you-go serves different the latest trend of augmenting cloud computing with band size models we take a few model of cloud band size locations and pricing when explicit band size reservation is connections In the present scenario the server keeps track of all the end clients. This makes the PACK suitable for pervasive computing we provide a survey on the new traffic redundancy technique called novel method conjointly called receiver based methods. This novel-TRE has important options like detective work the redundancy at the customer randomly rotating appear chained matches incoming chunks with a antecedently received file and sending to the server for predicting the long run information and no would like of server to unceasingly maintain consumer state Finally analysis and implementation of Predictive acknowledgement benefits for cloud users is determined.