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A Robust and Efficient MCDM-Based Framework for Cloud Service Selection Using Modified TOPSIS

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  • Rohit Kumar Tiwari

    (Madan Mohan Malaviya University of Technology, India)

  • Rakesh Kumar

    (Madan Mohan Malaviya University of Technology, India)

Abstract

Cloud computing has become a business model and organizations like Google, Amazon, etc. are investing huge capital on it. The availability of many organizations in the cloud has posed a challenge for cloud users to choose a best cloud service. To assist the cloud users, we have proposed a MCDM-based cloud service selection framework to choose a best service provider based on QoS requirement. The cloud service selection methods based on TOPSIS suffers from rank reversal problem as it ranks optimal service provider to non-optimal on addition or removal of a service provider and deludes the cloud user. Therefore, a robust and efficient TOPSIS (RE-TOPSIS)-based novel framework has been proposed to rank the cloud service providers using QoS provided by them and cloud user's priority for each QoS. The proposed framework is robust to rank reversal problem and its effectiveness has been demonstrated through a case study performed on a real dataset. Sensitivity analysis has also been performed to show the robustness against the rank reversal phenomenon.

Suggested Citation

  • Rohit Kumar Tiwari & Rakesh Kumar, 2021. "A Robust and Efficient MCDM-Based Framework for Cloud Service Selection Using Modified TOPSIS," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 11(1), pages 21-51, January.
    • Handle: RePEc:igg:jcac00:v:11:y:2021:i:1:p:21-51
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