In the process of transforming modern manufacturing into intelligent manufacturing, more and more manufacturing processes are being deployed digitally on the Internet. As a novel digital industrial infrastructure and new application ecology, Industrial Internet could integrate the novel information and communication technology into various industrial manufacturing processes, through the safe and reliable intelligent interconnection of factors concerning people, machines and things. It aims at significantly improving the digitalization, networking and intelligence of manufacturing processes through the comprehensive interconnection of all manufacturing factors. To deploy and run traditional manufacturing processes on Industrial Internet efficiently, corresponding digital technical means are called for. These technical means play an important role in many potential applications of intelligent manufacturing, e.g. integrating product lifecycle data, strengthening industrial chain cooperation, providing decision-making service information oriented on the production organization process, and providing data support for product optimization and upgrading.
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.
Table of Content
Chapter 1. Introduction.- Chapter 2. Architecture of Industrial Internet-centric BPM.- Chapter3. Industrial-metadata intelligent service for geo-distributed file system.- Chapter 4. Intelligent cooperation technology for multi-access device.- Chapter 5. Deep optimization for storage and computation over Industrial Internet.- Chapter 6. User data privacy protection in industrial application.- Chapter 7. Industrial application data security preservation in edge computing.- Chapter 8. Attribute-based intelligent data management for industrial application.- Chapter 9. Mobile business task management over Industrial Internet.- Chapter 10. Intelligent business resources deployment over Industrial Internet.- Chapter 11. Intelligent business process scheduling for industrial application.
About the author
Dr. Wanchun Dou is a full professor at Department of Computer Science and Technology, Nanjing University. He received the Ph D 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 Ph D 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 of Computer Science, University of Technology Sydney. He is also a fellow of Institute of Electrical and Electronics Engineers. He received the Ph D 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.
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