Proposing New Intelligence Algorithm for Suggesting Better Services to Cloud Users Based on Kalman Filtering

Mehdi Darbandi^1,

¹Department of Electrical Engineering and Computer Science at New York International University of Technology and Management, New York, USA

Cite this paper:
Mehdi Darbandi. Proposing New Intelligence Algorithm for Suggesting Better Services to Cloud Users Based on Kalman Filtering. Journal of Computer Sciences and Applications. 2017; 5(1):11-16. doi: 10.12691/jcsa-5-1-2

Abstract

Because of intrinsic characteristic of cloud computing, which made organizations and companies free from buying hardware and software infrastructures, lots of companies and industries decided to migrate to this network to be able to save more monies. For persuading organizations and institutes, about this facts of cloud computing, that in such network, cloud providers can address all of the user’s needs, authors of this paper wants to propose and demonstrate new intelligence algorithm which is capable for smart servicing of the needs of users and also suggesting them more related software’s and applications. The proposed algorithm is based on Kalman filtering and will use the log file of users and interests of them in different software’s. Our proposed algorithm will use backgrounds information and present needs of users to estimate and predict the best software and applications to suggest them.

Keywords:
cloud computing Kalman filtering intelligence servicing

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