• DocumentCode
    167116
  • Title

    Fuzzy cloud service selection framework

  • Author

    Tajvidi, Masoumeh ; Ranjan, Rajiv ; Kolodziej, Joanna ; Lizhe Wang

  • Author_Institution
    Dept. of Comput. Eng., Shahid Beheshti Univ., Tehran, Iran
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    443
  • Lastpage
    448
  • Abstract
    Cloud computing is the latest computing paradigm that delivers hardware and software resources as virtualization enabled services. Recently, cloud service selection has emerged as an important research problem due to large number of cloud providers and their diverse service configurations, multiple selection criteria, and customer´s fuzzy perception of Quality of Service (QoS). In this paper, we propose a novel fuzzy logic framework for cloud service selection based on the individual QoS criteria of customers. In this model, the necessary service configuration and run-time QoS data is collected from reliable sources such as monitoring services, customers´ feedbacks, and certified cloud providers´ information. The obtained results from conducted case study shows validity and applicability of the proposed framework.
  • Keywords
    cloud computing; fuzzy logic; quality of service; virtualisation; QoS criteria; cloud computing; fuzzy cloud service selection framework; fuzzy logic framework; quality of service; run-time QoS data; virtualization enabled services; Finance; Monitoring; Pragmatics; Quality of service; Reliability; Security; Vectors; Cloud Provider; Cloud Service Selection; Fuzzy Logic; Monitoring tools; Multi-Criteria Decision Process; User feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Networking (CloudNet), 2014 IEEE 3rd International Conference on
  • Conference_Location
    Luxembourg
  • Type

    conf

  • DOI
    10.1109/CloudNet.2014.6969035
  • Filename
    6969035