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International Journal of Parallel Programming

Erschienen in:

01.10.2014

Parallel Cloud Service Selection and Ranking Based on QoS History

verfasst von: Zia ur Rehman, Omar Khadeer Hussain, Farookh Khadeer Hussain

Erschienen in: International Journal of Parallel Programming | Ausgabe 5/2014

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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.

Vorheriger Artikel Energy-Efficient Redundant Execution of Processes in a Fault-Tolerant Cluster of Servers

Nächster Artikel An Optimization-Based Scheme for Efficient Virtual Machine Placement

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Titel: Parallel Cloud Service Selection and Ranking Based on QoS History
verfasst von: Zia ur Rehman
Omar Khadeer Hussain
Farookh Khadeer Hussain
Publikationsdatum: 01.10.2014
Verlag: Springer US
Erschienen in: International Journal of Parallel Programming / Ausgabe 5/2014
Print ISSN: 0885-7458
Elektronische ISSN: 1573-7640
DOI: https://doi.org/10.1007/s10766-013-0276-3

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