A Trust Evaluation Model for Cloud Computing Using Service Level Agreement
D. Marudhadevi, V. Neelaya Dhatchayani, V. S. Shankar Sriram · The Computer Journal · 2014
To access cloud services the user needs to negotiate a service level agreement (SLA) with the service provider. There will be inadequate assurances to customers on whether the services are trustworthy to pick. Trust management plays a major role in guiding the users to access trustworthy services. Hence a trust mining model (TMM) is proposed to identify trusted cloud services while negotiating an SLA. The knowledge is discovered from a previously monitored dataset and a trust value is generated. The proposed trust model helps both the service provider and cloud user, where the user can make a decision on whether to continue or discontinue the service with the service provider. A Rough set and Bayesian inference are used together to generate the overall results. Using rough sets previously monitored data are mined and the indiscernibility in them is analyzed. Bayesian inference is applied to infer the overall trust degree. The accuracy of the results is compared with the previous models and the result shows that the TMM gives better accuracy. The model is simulated using CloudSim.