Quantifying Trust Based on Service Level Agreement for Software as a Service

In this paper, we aim to construct quantifying trust model based on service level agreements (SLAs) as well as feedbacks from service consumers. The proposed model can aggregate the feedbacks weighted by both trust factor and similarity factor to give quantitative prediction of the target services´ trustworthiness. By comparing with traditional prediction algorithm, we show that our methodology gives better performance in trust estimation.