• DocumentCode
    2997017
  • Title

    Building an Expert System for Evaluation of Commercial Cloud Services

  • Author

    Zheng Li ; OBrien, L. ; Cai, Rainbow ; He Zhang

  • Author_Institution
    Sch. of CS, NICTA & ANU, Canberra, ACT, Australia
  • fYear
    2012
  • fDate
    22-24 Nov. 2012
  • Firstpage
    168
  • Lastpage
    175
  • Abstract
    Commercial Cloud services have been increasingly supplied to customers in industry. To facilitate customers´ decision makings like cost-benefit analysis or Cloud provider selection, evaluation of those Cloud services are becoming more and more crucial. However, compared with evaluation of traditional computing systems, more challenges will inevitably appear when evaluating rapidly-changing and user-uncontrollable commercial Cloud services. This paper proposes an expert system for Cloud evaluation that addresses emerging evaluation challenges in the context of Cloud Computing. Based on the knowledge and data accumulated by exploring the existing evaluation work, this expert system has been conceptually validated to be able to give suggestions and guidelines for implementing new evaluation experiments. As such, users can conveniently obtain evaluation experiences by using this expert system, which is essentially able to make existing efforts in Cloud services evaluation reusable and sustainable.
  • Keywords
    cloud computing; cost-benefit analysis; customer services; data acquisition; decision making; expert systems; software reusability; cloud computing; cloud provider selection; cloud service evaluation reusability; cost-benefit analysis; customer decision making; data accumulation; expert system; rapidly changing cloud service; user uncontrollable commercial cloud service evaluation; Cloud computing; Cognition; Data mining; Expert systems; Measurement; Scalability; Cloud Computing; Cloud Services Evaluation; Commercial Cloud Service; Evaluation Experiences; Expert System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud and Service Computing (CSC), 2012 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-4724-2
  • Type

    conf

  • DOI
    10.1109/CSC.2012.33
  • Filename
    6414495