Fusion and Integration of Clouds, Edges and Devices

This book provides an in-depth examination of recent research advances in cloud-edge-end computing, covering theory, technologies, architectures, methods, applications, and future research directions. It aims to present state-of-the-art models and optimization methods for fusing and integrating clouds, edges, and devices.

Cloud-edge-end computing provides users with low-latency, high-reliability, and cost-effective services through the fusion and integration of clouds, edges, and devices. As a result, it is now widely used in various application scenarios. The book introduces the background and fundamental concepts of clouds, edges, and devices, and details the evolution, concepts, enabling technologies, architectures, and implementations of cloud-edge-end computing. It also examines different types of cloud-edge-end orchestrated systems and applications and discusses advanced performance modeling approaches, as well as the latest research on offloading and scheduling policies. It also covers resource management methods for optimizing application performance on cloud-edge-end orchestrated systems.

The intended readers of this book are researchers, undergraduate and graduate students, and engineers interested in cloud computing, edge computing, and the Internet of Things. The knowledge of this book will enrich our readers to be at the forefront of cloud-edge-end computing.

Junlong Zhou is Associate Professor at the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China. His research interests include edge computing, cloud computing, and embedded systems.

Kun Cao is Associate Professor at the Jinan University, Guangzhou, China. His research interests include the Internet of Things, edge/fog/cloud computing, and cyber-physical systems.

Jin Sun is Professor at the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China. His research interests include computer architecture and high-performance computing.

Keqin Li is a SUNY Distinguished Professor at the State University of New York, a National Distinguished Professor at Hunan University, China, and a Member of Academia Europaea (Academician of the Academy of Europe). He is among the world’s top five most influential scientists in parallel and distributed computing in terms of single-year and career-long impacts based on a composite indicator of the Scopus citation database. He is an AAAS Fellow, an IEEE Fellow, an AAIA Fellow, an ACIS Fellow, and an AIIA Fellow.