QoS Prediction in Cloud and Service Computing: Approaches and Applications - Brossura

Zhang, Yilei; Lyu, Michael R.

Brossura

ISBN 10: 9811052778 ISBN 13: 9789811052774

Casa editrice: Springer, 2017

Riassunto

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. 

Su questo libro

Informazioni sull'autore

Yilei Zhang received his PhD in Computer Science from the Chinese University of Hong Kong. His industry-specific experience in cloud and big data spans several years as an IT professional. His research interests include big data, service computing and cloud computing. He has served as a reviewer for a number of international journals as well as conferences including TSE, TR, TSC, WWW, WSDM, KDD, ISSRE, etc. He received the best student paper award at the ICWS 2010.

Michael R. Lyu received his PhD in Computer Science from the University of California, Los Angeles. He is currently a Professor at the Chinese University of Hong Kong’s Computer Science and Engineering Department. He has published 450 peer-reviewed journal and conference papers. His research interests include software reliability engineering, distributed systems, fault-tolerant computing, service computing, multimedia information retrieval, and machine learning. He was named as the IEEE Reliability Society Engineer of the Year in 2010. He is a fellow of the IEEE, ACM and AAAS.

Dalla quarta di copertina

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. 

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 9811052778
• ISBN 13: 9789811052774
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 136
• Contatto del produttore: non disponibile
• Persona responsabile: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania