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Industrial edge computing = architecture, optimization and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Industrial edge computing/ by Xiaobo Zhou ...[et al.].
Reminder of title:	architecture, optimization and applications /
other author:	Zhou, Xiaobo.
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xiii, 206 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Introduction to Industrial Edge Computing -- Chapter 2. Preliminaries -- Chapter 3. Computation Offloading in Industrial Edge Computing -- Chapter 4. Data Caching in Industrial Edge Computing -- Chapter 5. Service Migration in Industrial Edge Computing -- Chapter 6. Application-oriented Industrial Edge Computing -- Chapter 7. Future Research Directions.
Contained By:	Springer Nature eBook
Subject:	Edge computing. -
Online resource:	https://doi.org/10.1007/978-981-97-4752-8
ISBN:	9789819747528

Industrial edge computing = architecture, optimization and applications /
Industrial edge computingarchitecture, optimization and applications /[electronic resource] :by Xiaobo Zhou ...[et al.]. - Singapore :Springer Nature Singapore :2024. - xiii, 206 p. :ill., digital ;24 cm.

Chapter 1. Introduction to Industrial Edge Computing -- Chapter 2. Preliminaries -- Chapter 3. Computation Offloading in Industrial Edge Computing -- Chapter 4. Data Caching in Industrial Edge Computing -- Chapter 5. Service Migration in Industrial Edge Computing -- Chapter 6. Application-oriented Industrial Edge Computing -- Chapter 7. Future Research Directions.

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.

ISBN: 9789819747528

Standard No.: 10.1007/978-981-97-4752-8doiSubjects--Topical Terms:

3489844
Edge computing.

LC Class. No.: QA76.583

Dewey Class. No.: 004.678

Industrial edge computing = architecture, optimization and applications /
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505 0 $a Chapter 1. Introduction to Industrial Edge Computing -- Chapter 2. Preliminaries -- Chapter 3. Computation Offloading in Industrial Edge Computing -- Chapter 4. Data Caching in Industrial Edge Computing -- Chapter 5. Service Migration in Industrial Edge Computing -- Chapter 6. Application-oriented Industrial Edge Computing -- Chapter 7. Future Research Directions.
520 $a 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.
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