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170904 ||| eng |
| 020 |
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|a 9789811052781
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| 100 |
1 |
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|a Zhang, Yilei
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| 245 |
0 |
0 |
|a QoS Prediction in Cloud and Service Computing
|h Elektronische Ressource
|b Approaches and Applications
|c by Yilei Zhang, Michael R. Lyu
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| 250 |
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|a 1st ed. 2017
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2017, 2017
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| 300 |
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|a XI, 122 p. 41 illus., 12 illus. in color
|b online resource
|
| 505 |
0 |
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|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
|
| 653 |
|
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|a Software engineering
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| 653 |
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|a Hardware Performance and Reliability
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| 653 |
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|a Software Engineering
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| 653 |
|
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|a Computers
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| 653 |
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|a Application software
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| 653 |
|
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|a Computer and Information Systems Applications
|
| 700 |
1 |
|
|a Lyu, Michael R.
|e [author]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
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|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
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|a SpringerBriefs in Computer Science
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-10-5278-1?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
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|a 004.24
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| 520 |
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|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.
|