Predict Trustworthiness of Cloud Services Using Linear Regression Model

Abstract

Cloud services are cloud computing applications and deployed online or in a distributed environment, and cloud users may get mandatory cloud services at any moment. But users confront the diversity and sophistication of grade of service (QoS) when assessing Service level agreement (SLA) and picking cloud services. For that reason, it's very significant to build a trust model to improve the user fulfillment and interaction success rate of CSP. Trust is a crucial element in cloud computing in current practice it depends mostly on a perception of Trust, and self-assessment of cloud providers. To be able to ensure the correctness of SLA and Trust of CSP, to accomplish this work advises a reputation-based trust mechanism. A reputation-based trust mechanism reflects the total view of a neighborhood towards a cloud supplier. Linear Regression Model is used to judge the trust model of CSP using Circumstances like Response time, throughput, availability, and sensibility.

Keywords: SLA, QoS, CSP, Linear Regression, prediction and Trustworthiness.