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A requirement-driven framework for cloud service provider selection using AHP, QFD, and TOPSIS
Arup Kumar Harichandan1, Rakesh Ranjan Kumar2, Debendra Muduli1
1C. V. Raman Global University, Bhubaneswar, 752054, Odisha, India.
Scientific Reports
|July 17, 2026
Summary
This study introduces a new framework for selecting cloud service providers (CSPs) by linking user needs to service quality. The method effectively ranks CSPs based on user requirements and performance, offering a transparent decision-making process.
Area of Science:
- Computer Science
- Operations Research
Background:
- Cloud service provider (CSP) selection is complex due to multiple functional requirements and quality-of-service (QoS) attributes.
- Existing methods often lack transparency in translating user needs into measurable evaluation criteria.
Purpose of the Study:
- To propose a novel requirement-driven framework for cloud service selection.
- To enhance transparency and accuracy in evaluating and ranking CSPs based on user-defined needs.
Main Methods:
- Integration of Analytic Hierarchy Process (AHP) for requirement prioritization.
- Utilization of Quality Function Deployment (QFD) to map requirements to QoS attributes.
- Application of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for ranking CSPs.
Main Results:
- The framework demonstrated high consistency in requirement prioritization (CR=0.0074).
- Response time and cost were identified as key QoS attributes.
- The proposed method consistently ranked top CSPs and showed strong agreement with other multi-criteria decision-making approaches.
Conclusions:
- The developed framework provides an interpretable, robust, and efficient solution for user-centric CSP selection.
- It effectively links user requirements to measurable evaluation criteria for improved decision-making.
- The approach offers computational efficiency and ranking stability.
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