ESTIMATION OF RISK AND TRUSTWORTHINESS OF CLOUD SERVICE PROVIDER USING TRUST RISK AWARE FRAMEWORK

Now a day's many users are migrating to Cloud environment because of its offering various resources as a service on basis of pay-as-go, here the problem is many Cloud service providers (CSP) are available from this group selecting trusted CSP is a challenging task, in order to overcome this in past many researchers focused on authentication mechanisms but these are inaccurate to decide the trustworthiness of CSP, in this paper proposing Trust Risk Aware (TRA) Framework it will estimate risk and trustworthiness of particular CSP, for this SLA violations and QoS parameters are considered. Finally, the experiment done on R-Studio, for this considered Amazon AWS, Google App Engine and Microsoft Windows azure. The data collected from these three providers and tested.