QoS Prediction in Cloud and Service Computing Approaches and Applications /

• Main Authors: Zhang, Yilei (Author), Lyu, Michael R. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2017.
• Series: SpringerBriefs in Computer Science,
• Subjects: Computer science.; Computer software > Reusability.; Software engineering.; Computer Science.; Performance and Reliability.; Software Engineering.; Information Systems Applications (incl. Internet).
• Physical Description: XI, 122 p. 41 illus., 12 illus. in color. online resource.
• ISBN: 9789811052781
• ISSN: 2191-5768

This book offers a systematic and practical overview of Quality of Service prediction in cloud and service computing. Intended to thoroughly prepare the reader for research in cloud performance, the book first identifies common problems in QoS prediction and proposes three QoS prediction models to address them. Then it demonstrates the benefits of QoS prediction in two QoS-aware research areas. Lastly, it collects large-scale real-world temporal QoS data and publicly releases the datasets, making it a valuable resource for the research community. The book will appeal to professionals involved in cloud computing and graduate students working on QoS-related problems. .