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Can I read QoS Prediction in Cloud and Service Computing: Approaches and Applications (SpringerBriefs in Computer Science) on EtoBox?
QoS Prediction in Cloud and Service Computing: Approaches and Applications (SpringerBriefs in Computer Science) by Zhang, Yilei, Lyu, Michael R. is a nonfiction available to read on EtoBox.
What is QoS Prediction in Cloud and Service Computing: Approaches and Applications (SpringerBriefs in Computer Science) about?
1 online resource, 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, Includes bibliographical references, Print version record, Preface; Acknowledgements; Contents; 1 Introduction; 1.1 Overview; 1.2 Backgrounds; 1.2.1 QoS in Cloud and Service Computing; 1.2.2 QoS Prediction in Cloud and Service Computing; 1.2.3 Web Service Searching; 1.2.4 Fault-Tolerant Cloud Applications; 1.3 Book Organization; References; 2 Neighborhood-Based QoS Prediction; 2.1 Overview; 2.2 Collaborative Framework in Cloud; 2.3 Collaborative QoS Prediction; 2.3.1 Problem Description; 2.3.2 Latent F
Who reads QoS Prediction in Cloud and Service Computing: Approaches and Applications (SpringerBriefs in Computer Science)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Zhang, Yilei, Lyu, Michael R.
- Publisher
- Springer Singapore : Imprint: Springer
- Published
- 2017
- Language
- EN
- ISBN
- 9789811052781
- Category
- nonfiction
- Subjects
- Computer Science, Engineering, Business
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