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

Author(s):

Mehdi Darbandi

Published in:

HCTL Open International Journal of Technology Innovations and Research (IJTIR), e-ISSN: 2321-1814

Published on:

24-February-2017

Volume:

Volume 23, Issue 1, February 2017.

Copyright Information:

© 2017 by the Authors; Licensed by HCTL Open, India.

License Information:

Creative Commons Licence
This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License.

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.


Keywords

Cloud Computing, Kalman Filter, Priority of Processes.

Cite this Article

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.

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