Parallel Cloud Service Selection and Ranking Based on QoS History View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-10

AUTHORS

Zia ur Rehman, Omar Khadeer Hussain, Farookh Khadeer Hussain

ABSTRACT

The growing number of cloud services has made service selection a challenging decision-making problem by offering wide ranging choices for cloud service consumers. This necessitates the use of formal decision making methodologies to assist a decision maker in selecting the service that best fulfills the user’s requirements. In this paper, we present a cloud service selection methodology that utilizes quality of service history of cloud services over different time periods and performs parallel multi-criteria decision analysis to rank all cloud services in each time period in accordance with user preferences before aggregating the results to determine the overall rank of all the available options for cloud service selection. This methodology assists the cloud service user to select the best possible available service according to the requirements. The multi-criteria decision making processes used for each time period are independent of the other time periods and are executed in parallel. More... »

PAGES

820-852

References to SciGraph publications

  • 2011. Evaluation Index System of Cloud Service and the Purchase Decision- Making Process Based on AHP in PROCEEDINGS OF THE 2011 INTERNATIONAL CONFERENCE ON INFORMATICS, CYBERNETICS, AND COMPUTER ENGINEERING (ICCE2011) NOVEMBER 19–20, 2011, MELBOURNE, AUSTRALIA
  • 2014-04. Towards an accurate evaluation of quality of cloud service in service-oriented cloud computing in JOURNAL OF INTELLIGENT MANUFACTURING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10766-013-0276-3

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    http://dx.doi.org/10.1007/s10766-013-0276-3

    DIMENSIONS

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