An Integrated MCDM Approach for Cloud Service Selection Based On TOPSIS and BWM
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Abstract
Because of the rapid advancement of cloud computing services and the proliferation of CSPs, many businesses have required assistance in selecting a cloud service provider. When comparing the services provided by different CSPs, many independent criteria should be considered. It represents multi-criteria decision-making (MCDM). Given the vast diversity of these services, choosing the best cloud service provider (CSP) becomes a major challenge. Due to this, we have to precisely evaluate the services of several CSPs. The selection of the best CSP is thus a complex multi-criteria decision (MCDM) that needs to be adjusted efficiently. In this paper, we propose a feasible, efficient, and consistent MCDM approach based on relative preferences for criteria and alternatives. The proposed method includes Techniques for Order of Preference by Similarity to the Ideal Solution (TOPSIS) and the Best or Worst Method (BWM).
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