Intelligent Industrial Internet Systems: Architecture, Deployment and Applications
About this eBook
This book focuses on the theory, techniques and means for integrating intelligent Industrial Internet applications deployed via mobile edge computing. Concretely, it mainly studies the intelligent theory, techniques and means from a problem-driven and demand-driven perspective, which supports collaborative design, agile manufacturing, remote operation and maintenance on Industrial Internet. These technologies primarily include Industrial Internet-centric intelligent resource scheduling methods, various types of industrial data privacy protection, intelligent version management technologies supporting digital twin applications, various data mining algorithms for intelligent execution of business processes, etc. Given its scope, the book offers a valuable theoretical and technical resource for project managers, technical developers, researchers, educators and students at colleges and universities.
About the author
Dr. Wanchun Dou is a full professor at Department of Computer Science and Technology, Nanjing University. He received the PhD degree in Mechanical and Electronic Engineering from the Nanjing University of Science and Technology at 2001. His research interests include the mobile edge computing, industrial internet, and intelligent service computing. Based on Google Scholar, he has published more than 200 peer reviewed papers including more than 40 ACM/IEEE Transactions papers.
Dr. Xiaolong Xu is a full professor at School of Software, Nanjing University of Information Science and Technology. He received the PhD degree in Department of Computer Science and Technology from Nanjing University at 2016. His research interests include the big data, service computing, edge computing, and knowledge graph. Based on Google Scholar, he has published more than 200 peer reviewed papers including more than 30 ACM/IEEE Transactions papers.
Dr. Shui Yu is a full professor at School ofComputer Science, University of Technology Sydney. He is also a fellow of Institute of Electrical and Electronics Engineers. He received the PhD degree in School of Information Technology from Deakin University at 2004. His research interests include the cybersecurity, network science, big data, and mathematical modeling. Based on DBLP, he has published more than 400 peer reviewed papers including more than 80 IEEE Transactions papers.
