A User-Centered Approach for Cloud Service Selection and Recommendation

نویسندگان

  • Aqsa Ashraf
  • Imran M. Rabbani
  • Ana María Martínez Enríquez
  • Aslam Muhammad
چکیده

Cloud computing is one of the most emerging industries and offers scalable computing resources and on-demand packages. A large number of cloud services are being offered by many service providers, a vendor supplies many services or same service is provided by many vendors, which creates the selection issue of appropriate cloud service from a big pool. Quality of service plays important role for better service choice. For this reason, cloud service recommendation systems are proposed in the literature that makes it easy for a user to decide which service to choose. However, user needs and requirements like economy, feedback, etc. are least considered, In our approach, an efficient cloud service recommendation system has been developed enabling users to hire a cloud service according to their own requirements. The aim is to test services according to user needs and some stated parameters. Users select the criteria from given parameter repository, the quality attributes like security, privacy, data storage, etc. and thus services are evaluated. Finally, results are shown providing user with the flexibility and opportunity to select best cloud service.

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عنوان ژورنال:
  • Research in Computing Science

دوره 130  شماره 

صفحات  -

تاریخ انتشار 2016