Proposing New Intelligent System for Suggesting Better Service Providers in Cloud Computing based on Kalman Filtering

Author(s):

Mehdi Darbandi

Published in:

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

Published on:

31-March-2017

Volume:

Volume 24, Issue 1, March 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

There are lots of different companies which present IT services to the users and other companies. IT services are include as hosting web pages, delivering storage and processing capacities, hosting organization’s servers and etc. Selecting one service provider among such companies is become very difficult and need high level of knowledge and expertise about organization needs and systems, and on the other hand, information about the credibility of service provider and security of different services which propose by that service provider. In this paper, we suggest and demonstrate new system which will gather all of the service provider’s information, and also the needs and system requirements of clients or organizations which needs those services, and propose the customers the best and reliable service providers according to their needs and requirements.


Keywords

Cloud Computing; Service Providers; Kalman Filtering.

Cite this Article

Mehdi Darbandi, Proposing New Intelligent System for Suggesting Better Service Providers in Cloud Computing based on Kalman Filtering, HCTL Open International Journal of Technology Innovations and Research (IJTIR), Volume 24, Issue 1, March 2017, pp. 1-9, e-ISSN: 2321-1814.

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