Cloud computing has evolved as a cost-effective, easy-to-use, elastic and scalable computing paradigm to transform today's business models. 5G, Industrial IoT, Industry 4.0 and China-2050 frameworks and technologies are introducing new challenges that cannot be solved efficiently using current cloud architectures. To handle the collected information from such a vast number of devices and actuators, and address these issues, novel concepts have been proposed to bring cloud-like resources closer to end users at the edge of the network, a technology called edge computing.
From architectures to models, technologies and applications, this book focuses on the Edge Computing paradigm due to its unique characteristics where heterogeneous devices can be equipped with decision making processes and automation procedures to carry out applications across widely geographically distributed areas.
This book provides valuable insights for ICTs engineers, scientists, researchers, developers and practitioners who are involved in developing and implementing edge and cloud-based solutions ranging from sensors and actuators to cloud-based back-end systems.
- Chapter 1: Introduction to edge computing
- Chapter 2: Edge computing architectures
- Chapter 3: Big data analytical models for/on edge computing
- Chapter 4: Data security and privacy models for/on edge computing
- Chapter 5: Networking models and protocols for/on edge computing
- Chapter 6: Computing and storage models for edge computing
- Chapter 7: Resource allocation models in/for edge computing
- Chapter 8: Human-in-the-loop models for multi-access edge computing
- Part II: Technologies
- Chapter 9: Distributed big data computing platforms for edge computing
- Chapter 10: Distributed execution platforms for edge computing
- Chapter 11: Collaborative platforms and technologies for edge computing
- Chapter 12: Serverless architecture for edge computing
- Chapter 13: Open-source projects for edge computing
- Chapter 14: Simulators and emulators for edge computing
- Part III: Applications
- Chapter 15: Smart cities enabled by edge computing
- Chapter 16: Smart healthcare systems enabled by edge computing
- Chapter 17: Smart hospitals enabled by edge computing
- Chapter 18: Smart grids enabled by edge computing
- Chapter 19: Smart surveillance for public safety enabled by edge computing
Karlstad University, Department of Computer Science, Sweden.
Javid Taheri is a full professor at the Department of Computer Science of Karlstad University, Sweden. His areas of interest include profiling, modelling and optimization techniques for private and public cloud infrastructures and software-defined networks, and network-aware scheduling algorithms for edge, cloud and green computing. He is the recipient of the prestigious IEEE TSCS-MCR award in 2019. He is the editor of the IET book Big Data and Software Defined Networks in 2018 (ISBN: 978-1-78561-304-3).Shuiguang Deng Full Professor.
Zhejiang University, College of Computer Science and Technology, China.
Shuiguang Deng is a full professor in the College of Computer Science and Technology, Zhejiang University, China, where he received a PhD degree in Computer Science. His research interests include edge computing, service computing, mobile computing and business process management. He serves as associate editor for the journals IEEE Access and IET Cyber-Physical Systems: Theory & Applications. He has published three monographs. In 2018, he was granted the Rising Star Award by IEEE TCSVC.