QoS Prediction in Cloud and Service Computing - Approaches and Applications (Paperback, 1st ed. 2017)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Computer Science
Release date:	August 2017
First published:	2017
Authors:	Yilei Zhang • Michael R. Lyu
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	122
Edition:	1st ed. 2017
ISBN-13:	978-981-10-5277-4
Categories:	Books > Computing & IT > General theory of computing > Systems analysis & design Books > Computing & IT > Computer programming > Software engineering Books > Computing & IT > Applications of computing > Databases > General
LSN:	981-10-5277-8
Barcode:	9789811052774

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