Optimizing best cloud service using the Bayesian personalized ranking framework


  • G Yuvaraj
  • M Nizar Ahamed
  • N Siva Rama Lingham
  • D Jayaprakash






Cloud computing, bayesianpersonalized ranking framework, cloud service provider, quality of service.


Cloud computing has gaineda largest amountof popularity, Since the computing resources can be utilized in efficient manner. In other case it offers increased size in terms of flexibility and efficiency. The Cloud market has witnessed a vastincrease in the number of different cloud services, and then the best and optimal service can be selected by CSP. In our proposed system, we are using Bayesian algorithm to develop raking framework for QOS predication and based on this different CSP can be selected to offer the appropriate services based on the QOS requirement from the user. Based on the predicted analysis, the best CSP will be marked with a Ranking framework, according to which the Services will be directed to the users.


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