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: | 9789811052774 |
| Publication date: | 11th August 2017 |
| Author: | Yilei Zhang, Michael R Lyu |
| Publisher: | Springer an imprint of Springer Nature Singapore |
| Format: | Paperback |
| Pagination: | 122 pages |
| Series: | SpringerBriefs in Computer Science |
| Genres: |
Computer hardware Software Engineering Applied computing |
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.
QoS Prediction in Cloud and Service Computing features in the following genres: Computer hardware, Software Engineering, Applied computing
Paperback. Not Available.
QoS Prediction in Cloud and Service Computing was written by Yilei Zhang, Michael R Lyu and published by Springer an imprint of Springer Nature Singapore
QoS Prediction in Cloud and Service Computing has 122 pages
Yes it is part of SpringerBriefs in Computer Science series