Periodically Predicting Client’s Bandwidth & Cost Acknowledgements Sends to Cloud Server to Optimize Resource Usage

Cloud computing provides users to store their data remotely and enjoy the on demand high quality services and offers it as usage based pricing. Here, bandwidth reduction is an important issue in this paper. Cloud service providers (CSP) are trying to reduce this bandwidth and also applying the judicious use of cloud resources by deploying a TRE system to end-to-end clients. Generally cloud server maintains the client mobility and server migration to cloud elasticity along with this it also maintaining the continuous client’s status of data transferring, traffic reduction, it is again a burden to server, So in order to reduce the overhead to server in this paper TRE system is receiver based, by maintaining a chunk store and allowing the client to use newly received chunks to identify previously received chunk chains which in turn sends a predictor message for the subsequent chunks. When redundancy is detected the sender then sends only ACK to the prediction instead of sending data.