QoS Prediction in Cloud and Service Computing Approaches and Applications /

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 a...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
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:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Zhang, Yilei.  |e author. 
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. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint: Springer,  |c 2017. 
300 |a XI, 122 p. 41 illus., 12 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
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. . 
650 0 |a Computer science. 
650 0 |a Computer software  |x Reusability. 
650 0 |a Software engineering. 
650 1 4 |a Computer Science. 
650 2 4 |a Performance and Reliability. 
650 2 4 |a Software Engineering. 
650 2 4 |a Information Systems Applications (incl. Internet). 
700 1 |a Lyu, Michael R.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9789811052774 
830 0 |a SpringerBriefs in Computer Science,  |x 2191-5768 
856 4 0 |u http://dx.doi.org/10.1007/978-981-10-5278-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)