Optimizing Intelligent System for Recommending Useful Services in Cloud Computing based on Kalman Filtering

Due to the inherent nature of cloud computing, whichcompanies and organizations, from additionalinvestments on software and hardware infrastructure,many companies and organizations, have decided tomigrate to this network. So they can save on their costs.To convince companies and organizations about the factthat they can meet users needs in a cloud computingnetwork, the authors of this article will want to introducea new intelligent algorithm that requires intelligentservicing and Suggest newer and more up-to-datesoftware and applications for cloud computing. Theproposed algorithm is based on the Kalman filter anduses the log information of user files and their interest indifferent software. Our proposed algorithm uses pastinformation and current user needs to offer the bestsoftware and applications for their needs.

کلیدواژه ها:

cloud computing ، Kalman filtering ، smart service