Fuzzy Performance Modeling and Analysis of SaaS Software Using Possibility Theory

With the advancement and widespread adoption of cloud computing technology, Software as a Service (SaaS) has become increasingly common as a software service model, bringing along significant uncertainties in performance. The ambiguous performance issues surrounding SaaS application software have garnered considerable attention. Compared to probability theory, which focuses on the randomness of event occurrences, This paper proposes an innovative approach to performance modeling and analysis using possibility theory, which focus on the degree of trustworthiness in fuzzy performance assertion. A typical preliminary experimental case validated the feasibility of our method.