Fr. 100.00

Fusion and Integration of Clouds, Edges, and Devices

English · Hardback

Shipping usually within 3 to 5 weeks

Description

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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.


List of contents










1. Introduction to Clouds, Edges, and Devices 2. Introduction to Cloud-Edge-End Computing 3. Cloud-Edge-End Orchestrated Systems 4. Cloud-Edge-End Orchestrated Applications 5. Summary and Future Research


About the author










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.


Summary

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.

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