| 书目名称 | QoS Prediction in Cloud and Service Computing |
| 副标题 | Approaches and Appli |
| 编辑 | Yilei Zhang,Michael R. Lyu |
| 视频video | |
| 概述 | Expose readers to the very forefront of performance research in cloud computing.Presents three QoS prediction approaches in cloud and service computing.Provides comprehensive information on QoS-aware |
| 丛书名称 | SpringerBriefs in Computer Science |
| 图书封面 |  |
| 描述 | .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. . |
| 出版日期 | Book 2017 |
| 关键词 | Cloud Computing; Web Service; QoS Prediction; Time Series Analysis; Fault Tolerance; Reliability |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-10-5278-1 |
| isbn_softcover | 978-981-10-5277-4 |
| isbn_ebook | 978-981-10-5278-1Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
| issn_series | 2191-5768 |
| copyright | The Author(s) 2017 |
发表于 2025-3-21 19:08:09
