• DocumentCode
    1884564
  • Title

    Quality of service driven cloud service ranking and selection algorithm using REMBRANDT approach

  • Author

    Shetty, Jyothi ; D´Mello, Demian Antony

  • Author_Institution
    Dept. of Comput. Sci. & Eng., VTU, Belgaum, India
  • fYear
    2015
  • fDate
    6-8 May 2015
  • Firstpage
    126
  • Lastpage
    132
  • Abstract
    Cloud is considered as a pool of resources and it delivers resources on demand. With the large number of available cloud providers, finding the right service is not an easy task. Cloud service discovery mechanisms are helpful to find the appropriate services. But the exponential growth in number of cloud services may lead to several functionally equivalent services to be discovered. The best service can be selected by ranking all the discovered services using their nonfunctional properties. Since this decision making involves comparison of each cloud service using several properties, selection problem is assumed as multi criteria decision making problem. In this paper we present a mechanism to rank and select the cloud services using REMBRANDT approach.
  • Keywords
    cloud computing; decision making; quality of service; REMBRANDT approach; cloud service discovery mechanisms; cloud service ranking; multicriteria decision making problem; quality of service; selection algorithm; Cloud computing; Decision making; Electronic mail; Engines; Indexes; Matrix converters; Quality of service; Cloud service; MCDM; REMBRANDT approach; Service selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2015 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4799-9854-8
  • Type

    conf

  • DOI
    10.1109/ICSTM.2015.7225401
  • Filename
    7225401