چکیده مقاله
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
کلیدواژهها
نویسندگان
Hesam Rafei
Department of Computer and Information Technology, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran
شیوه ارجاع
Rafei, Hesam,1397,Optimizing Intelligent System for Recommending Useful Services in Cloud Computing based on Kalman Filtering,Second International Conference on Innovation and Research in Engineering Sciences
ارائهشده در
مجموعه مقالات دومین کنفرانس بین المللی نوآوری و تحقیق در علوم مهندسی22 اسفند 1397