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Cloud Service Selection Using TOPSIS and Fuzzy TOPSIS with AHP and ANP

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Published:13 January 2017Publication History

ABSTRACT

The growing demand and availability of cloud services have triggered the need for comparison of their features available to customers at different prices and performance. It is necessary to be said that relevant and fair comparison is still challenging due to diverse deployment options and unique features of different services.

The aim of this paper is to rank cloud services based on quantified QoS (Quality of Service) attributes using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and fuzzy TOPSIS, and comparing them to find out which method suits more in different scenarios.

A comparative study of Analytic Hierarchy Process (AHP) and Analytic Network process (ANP) is also done while extracting the weights of criteria for TOPSIS and fuzzy TOPSIS.

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  • Published in

    cover image ACM Other conferences
    ICMLSC '17: Proceedings of the 2017 International Conference on Machine Learning and Soft Computing
    January 2017
    233 pages
    ISBN:9781450348287
    DOI:10.1145/3036290

    Copyright © 2017 ACM

    © 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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    Publication History

    • Published: 13 January 2017

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