A Trust Computation Model for Collaborative Cloud Environment

Cloud computing has revolutionized the IT industry, with businesses of all sizes, from major corporations to local pizza shops and retail stores, increasingly relying on cloud services. This technology provides on-demand access to various computing resources over the Internet, including databases, development tools, applications, and physical and virtual servers. However, ensuring service uptime and accurately predicting application performance on cloud infrastructure remain significant challenges. Securing applications and data on the cloud while maintaining user privacy adds to these concerns. From the perspective of cloud consumers, issues such as service unavailability when needed, slower-than-expected response times, and the inherent security and privacy risks associated with cloud services can lead to a lack of trust in cloud providers. This research project addresses these concerns by proposing various methods for computing trust in cloud service providers. The trustworthiness evaluation will consider multiple factors, including reputation, service level agreements (SLAs), self-assessments, and cloud audits. Agents responsible for monitoring trust will observe and collect data on the different services offered by cloud providers. This data will be analyzed, and a trust computation engine will assess the provider’s trustworthiness. Key quality of service (QoS) features such as availability, dependability, data integrity, and reliability are crucial for users, as they play a significant role in determining the trustworthiness of a cloud service. The research mainly focuses on calculating trust as a numerical value by considering availability, response time, throughput, and Reliability. Trust will be the percentage value for the cloud. The authors have taken only the above four factors for better trust value.