Improving Accuracy in Cloud Service Provider Ranking: Integrating TOPSIS with CAIQ-based QoS Assessment.

The search for a reliable cloud service provider has become increasingly complex due to the increasing reliance on them. Researchers have developed a multi-criteria decision-making (MCDM) method, including the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for ranking. However, the selection process often relies on only a few aspects of service quality, known as Quality of Service (QoS) parameters. This research proposes a comprehensive methodology, using the Consensus Assessment Initiative Questionnaire (CAIQ) to select standardized QoS parameters and then applying the MCDM method, incorporating TOPSIS, to rank cloud service providers based on their performance. This approach aims to improve the accuracy and reliability of the selection process, enabling individuals and organizations to confidently identify and choose the most trustworthy cloud service providers for their specific needs.