Toward trustworthy cloud service selection

摘要: Cloud services consumers face a critical challenge in selecting trustworthy from abundant candidates, and facilitating these choices has become issue the uncertain cloud industry. This paper employs time series analysis to address challenges resulting fluctuating quality of service, flexible service pricing complicated potential risks order propose time-aware selection approach with tradeoffs between performance-costs risks. The original evaluation data about is preprocessed using model, interval neutrosophic set (INS) theory utilized describe measure services. In calculate compare candidate while supporting different periods, we established (CINS) designed its operators calculation rules, theoretical proofs provided. problem formulated as multi-criterion decision-making (MCDM) creating ranked list CINS, it solved by developing CINS ranking method. Finally, experiments based on real-world dataset illustrate practicality effectiveness proposed approach. Propose for industry.Formulate set.Support periods.Establish services.Develop method create