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QoS prediction in cloud and service ...

Lyu, Michael R.

QoS prediction in cloud and service computingapproaches and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	QoS prediction in cloud and service computingby Yilei Zhang, Michael R. Lyu.
Reminder of title:	approaches and applications /
Author:	Zhang, Yilei.
other author:	Lyu, Michael R.
Published:	Singapore :Springer Singapore :2017.
Description:	xi, 122 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Quality of service (Computer networks)
Online resource:	http://dx.doi.org/10.1007/978-981-10-5278-1
ISBN:	9789811052781$q(electronic bk.)

QoS prediction in cloud and service computingapproaches and applications /
Zhang, Yilei.

QoS prediction in cloud and service computingapproaches and applications /[electronic resource] :by Yilei Zhang, Michael R. Lyu. - Singapore :Springer Singapore :2017. - xi, 122 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

1. Introduction -- 2. Neighborhood-Based QoS Prediction -- 3. Time-Aware Model-Based QoS Prediction -- 4. Online QoS Prediction -- 5. QoS-AwareWeb Service Searching -- 6. QoS-Aware Byzantine Fault Tolerance -- 7. Conclusion and Discussion.

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.

ISBN: 9789811052781$q(electronic bk.)

Standard No.: 10.1007/978-981-10-5278-1doiSubjects--Topical Terms:

680487
Quality of service (Computer networks)

LC Class. No.: TK5105.548

Dewey Class. No.: 004.6782

QoS prediction in cloud and service computingapproaches and applications /
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245 1 0 $a QoS prediction in cloud and service computing $h [electronic resource] : $b approaches and applications / $c by Yilei Zhang, Michael R. Lyu.
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300 $a xi, 122 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5768
505 0 $a 1. Introduction -- 2. Neighborhood-Based QoS Prediction -- 3. Time-Aware Model-Based QoS Prediction -- 4. Online QoS Prediction -- 5. QoS-AwareWeb Service Searching -- 6. QoS-Aware Byzantine Fault Tolerance -- 7. Conclusion and Discussion.
520 $a 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.
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