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

Name: Kalman Filtering For Estimation And Prediction Servers With Lower Traffic Loads For Transferring High-Level Processes In Cloud Computing
Creator: Mehdi Darbandi
Keywords: Priority of Processes, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Cloud Computing, Kalman Filter

descriptionPublicationkeyboard_double_arrow_right Article 24 Feb 2017Publisher:Zenodo

Authors: Mehdi Darbandi;

doi: 10.5281/zenodo.345288

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

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Abstract

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.

Mehdi Darbandi, Kalman Filtering for Estimation and Prediction Servers with Lower Traffic Loads for Transferring High-Level Processes in Cloud Computing, HCTL Open International Journal of Technology Innovations and Research (IJTIR), Volume 23, Issue 1, February 2017, pp. 10-20, e-ISSN: 2321-1814.

Keywords

Priority of Processes, Cloud Computing, Kalman Filter

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