Journal
INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING
Volume 42, Issue 5, Pages 820-852Publisher
SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10766-013-0276-3
Keywords
Parallel service selection; QoS history; Interaction time period; Parallel multi-criteria decision analysis
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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.
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