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QoS Prediction in Cloud and Service Computing

Approaches and Applications

  • Yilei Zhang
  • Michael R. Lyu

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Yilei Zhang, Michael R. Lyu
    Pages 1-13
  3. Yilei Zhang, Michael R. Lyu
    Pages 15-34
  4. Yilei Zhang, Michael R. Lyu
    Pages 35-53
  5. Yilei Zhang, Michael R. Lyu
    Pages 55-80
  6. Yilei Zhang, Michael R. Lyu
    Pages 81-103
  7. Yilei Zhang, Michael R. Lyu
    Pages 105-120
  8. Yilei Zhang, Michael R. Lyu
    Pages 121-122

About this book

Introduction

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. 

Keywords

Cloud Computing Web Service QoS Prediction Time Series Analysis Fault Tolerance Reliability

Authors and affiliations

  • Yilei Zhang
    • 1
  • Michael R. Lyu
    • 2
  1. 1.School of Mathematics and Computer ScienceAnhui Normal UniversityWuhuChina
  2. 2.The Chinese University of Hong KongHong KongChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-5278-1
  • Copyright Information The Author(s) 2017
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-10-5277-4
  • Online ISBN 978-981-10-5278-1
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site