Leveraging Big Data Techniques for Cyber-Physical Systems |
Cyber-physical system (CPS) addresses the close interactions and feedback controls between cyber components and physical components, where cyber components refer to the sensing and communication systems, while the physical components comprise of a wide range of systems in practice. Due to the fast increase in system complexities, the operations of CPS involve sensing, processing and storage of massive amount of data. This nature of big data also imposes fundamental challenges on the management and control of the operations of CPS, which involve sensing, processing and storage of massive amount of data. In addition, there is a need to overcome some hardware and software design challenges of CPS in multiple aspects such as performance, energy efficiency, security, privacy, reliability, sustainability, fault tolerance, scalability and flexibility.
This book highlights some original research and survey articles on the topic of big data sensing, processing, storage, and hardware/software design for CPS. The topics covered by this book are given in above-mentioned Table of Contents.
Topics of Interests (but not limited to):
State-of-the-art Overview of Cyber-Physical Systems (CPS)
Cyber-Physical Smart Home, Building, and Community
Mathematical Big Data Optimization Frameworks for CPS
Big Data Techniques in Smart Energy Systems
Big Data Analytics for Instrumentation and Measurement Reliability
Game Theory in Cyber-Physical System Design and Control
Social Optimization in CPS
Uncertainty Analysis and Optimization in Cyber-Physical Systems
Pricing Making for Cyber-Physical Smart Energy Systems
Cybersecurity and Cyberattack Detection in CPS
Cyber-Physical Data Center and Cloud Computing
Automotive Cyber-Physical Systems
Big Data Analytics for Electric Vehicles Operations
Embedded System Design for Cyber-Physical Systems
Application and Use Cases
Chapter submission | |
Review comments | |
Submission of the revised chapter | |
Final acceptance notification | |
Final chapter due |
All chapters (and chapter proposal) must be submitted electronically via EasyChair using this link: easychair.org/conferences/?conf=book-cpsbd2017. The submissions must be in pdf format. For further information, please contact the editors on: shiyan@mtu.edu.
More details please see this file.
Shiyan Hu | Michgan Technological University |
Bei Yu | Chinese University of Hong Kong |
Yinyu Ye | Stanford University |
IEEE Technical Committee on CPS (www.ieee-cps.org).