QoS Prediction in Cloud and Service Computing (Approaches and Applications)

In a rapidly evolving digital landscape, understanding and managing the quality of service (QoS) in cloud computing has become essential for developers, service providers, and users alike. This insightful work delves into various methodologies for predicting QoS, shedding light on both theoretical and practical aspects of the subject. By combining advanced algorithms with real-world case studies, the authors offer readers a comprehensive view of how effective QoS prediction can directly impact the functionality and reliability of cloud services.

Michael R. Lyu and Yilei Zhang guide readers through a range of approaches that harness data analytics and machine learning techniques to anticipate performance metrics and service quality. The book serves as a valuable resource for those seeking to enhance service delivery in cloud environments, making it relevant not only for computer scientists and students but also for industry practitioners striving to implement robust service-oriented applications successfully.