QoS Prediction in Cloud and Service Computing Approaches and Applications /

• Κύριοι συγγραφείς: Zhang, Yilei (Συγγραφέας), Lyu, Michael R. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2017.
• Σειρά: SpringerBriefs in Computer Science,
• Θέματα: Computer science.; Computer software > Reusability.; Software engineering.; Computer Science.; Performance and Reliability.; Software Engineering.; Information Systems Applications (incl. Internet).
• Φυσική περιγραφή: 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. .