Personalized Framework for QOS Ranking in Cloud Service and Recommendation System Using Collaborative Filtering Approach

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Cloud
Format: PDF
Constructing quality applications in cloud environment become tedious. QOS prediction is essential to invoke the services at real time. The term QOS (Quality Of Service) used to reveal the nonfunctional attributes of cloud services and act as important segregation point. The QOS attributes of cloud services are throughput, response time, failure probability, availability, etc. At present there is no framework used to measure cloud services with their ranking. To select optimal service among functionally equivalent service in the cloud environment, the QOS ranking can be used.

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