Kalman Filtering for Estimation and Prediction Servers with Lower Traffic Loads for Transferring High-Level Processes in Cloud Computing

Cloud computing has deep influences on the resources which required for processing and storage data of individuals and industries. Deploying of cloud computing, does not need high expertise in computer engineering. It delivers lots of different services and applications to the users. In this paper, we wants to present new intelligence algorithm which is used Kalman filtering for estimation and prediction about, servers with lower traffic loads to transfer high-level processes on to them. By doing this, we can give priority to high-level processes and also we can guarantee QoS in our network.