Big Data Analytics for Cyber-Physical Systems
This book highlights research and survey articles dedicated to big data techniques for cyber-physical system (CPS), which addresses the close interactions and feedback controls between cyber components and physical components. The book first discusses som
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Data Analytics for Cyber-Physical Systems
Big Data Analytics for Cyber-Physical Systems
Shiyan Hu • Bei Yu Editors
Big Data Analytics for Cyber-Physical Systems
Editors Shiyan Hu School of Electronics and Computer Science University of Southampton Southampton, UK
Bei Yu Department of Computer Science and Engineering The Chinese University of Hong Kong Shatin, Hong Kong
ISBN 978-3-030-43493-9 ISBN 978-3-030-43494-6 (eBook) https://doi.org/10.1007/978-3-030-43494-6 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
This book highlights research and survey articles dedicated to big data techniques for cyber-physical systems, which address the close interactions and feedback controls between cyber components and physical components. This book discusses fundamental big data problems and solutions in large-scale distributed cyberphysical systems. It then addresses the design and control challenges in multiple application domains such as vehicular system, smart city, smart building, and digital microfluidic biochips. It also discusses the recent advances and trends in the maritime simulation system and the flood defense system. Some of the unique features of this book are listed as follows: • Helps readers understand the fundamentals of how big data analytics and optimization are involved in developing the cyber-physical systems. • Presents readers with practical tools and design methodologies for implementing highly efficient big data based cyber-physical systems. • Introduces recent advances and trends in leveraging big data techniques in a wide spectrum of domains of cyber-physical systems. With these features covered, this book can serve as a
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