Industrial Edge Computing : Architecture, Optimization and Applications

This book serves as a pivotal guide for professionals and researchers within the industrial computing domain, offering an extensive examination of edge computing in industrial environments. Tailored for individuals possessing a foundational understanding of industrial computing systems, it aims to augment their knowledge concerning the role and capabilities of edge computing in this dynamically evolving sector.

In an era where real-time, reliable, and scalable computing solutions are of paramount importance, traditional cloud computing models grapple with challenges such as latency,  bandwidth limitations, data sovereignty, and privacy concerns. This book positions edge computing as a crucial evolution in industrial data processing and analytics, specifically addressing these challenges. It introduces a distinctive three-layer industrial edge computing architecture that integrates device, edge, and application layers, explicitly designed to accommodate the intricacies of the Industrial Internet of Things (IIoT).

Beyond elucidating the theoretical foundations of edge computing, the book delves into its practical applications, with a particular emphasize on edge-assisted model inference as a key scenario. It offers insightful case studies and discussions on the integration of edge computing with artificial intelligence (AI), illustrating how this collaboration is revolutionizing industrial systems. A comprehensive understanding of the material is facilitated by a background in computer science, industrial engineering, IoT, and cloud computing.

Xiaobo Zhou is a professor in the College of Intelligence and Computing at Tianjin University, China. His research interests include Internet of Things, cloud computing, edge computing, and mobile computing. He has authored/coauthored over 100 in international journals and conference proceedings, including IEEE Transactions on Mobile Computing, IEEE Transactions on Cloud Computing, IEEE INFOCOM, etc. He has served as TPC Co-Chair, Publication Chair for server international conferences. He is a senior member of China Computer Federation (CCF) and IEEE.

Shuxin Ge is pursuing a doctoral degree of Computer Science and Technology at Tianjin University, China. His researches focus on the mobile edge computing, Internet of Things, vehicular fog computing, and ride-hailing platform management.

Jiancheng Chi is currently pursuing a PhD degree in Computer Science and Technology at Tianjin University, China. His research interests include industrial internet of things, industrial Big Data, edge computing, and machine learning. 

Tie Qiu is a full professor at the School of Computer Science and Technology, Tianjin University, China. Prior to that, he held positions as an assistant professor in 2008 and associate professor in 2013 at the School of Software, Dalian University of Technology. He also served as a visiting professor at the Department of Electrical and Computer engineering, Iowa State University,  U.S. (2014–2015). At present, he holds editorial roles in multiple international journals, including IEEE/ACM Transactions on Networking (ToN), IEEE Transactions on Network Science and Engineering (TNSE) and IEEE Transactions on Systems, Man, and Cybernetics: Systems, etc. Dr. Qiu has played significant roles, for example General Chair, Program Chair, in various international conferences. He has authored/coauthored 10 books, over 200 scientific papers in international journals and conference proceedings, such as IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Industrial Informatics, IEEE Communications Surveys and Tutorials, IEEE Communications, INFOCOM, GLOBECOM, etc. He is a distinguished member of China Computer Federation (CCF) and a senior member of IEEE and ACM.