Traffic Redundancy Elimination (TRE) Approach to Reduce Cloud Bandwidth and Cost based on Prediction

Cloud computing offer to the customers an economical as well as convenient pay-as-you-go service model. It also known as usage based pricing. Cloud customers only pay for the actual use for computing resources, storage, and bandwidth. It is all about according to their changing needs, utilizing the cloud’s scalable and elastic computational capabilities. In particular bandwidth is also an important issue when trying to minimize costs. Cloud customers applying a judicious use of the cloud’s resources. Also, they are motivated to use various traffic reduction techniques, in a particular traffic redundancy elimination (TRE), and for reducing bandwidth costs. Traffic redundancy are stems from common end users activities. Such as, repeatedly accessing, downloading, uploading, distributing, and modifying the information items. Traffic redundancy elimination is used to eliminate the transmission of redundant content and significantly reduce the network cost. In most common TRE solutions, both the sender and the receiver examine and compare signatures of data chunks. They parsed according to the data content. It is prior to their transmission. When repeated chunks are detected, the sender replaces the transmission of each repeated chunks with its strong signature.