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 a...
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| मुख्य लेखकों: | , , , |
|---|---|
| निगमित लेखक: | |
| स्वरूप: | इलेक्ट्रोनिक ई-पुस्तक |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
|
| संस्करण: | 1st ed. 2024. |
| विषय: | |
| ऑनलाइन पहुंच: | https://doi.org/10.1007/978-981-97-4752-8 |
| टैग: |
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| 245 | 1 | 0 | |a Industrial Edge Computing |h [electronic resource] : |b Architecture, Optimization and Applications / |c by Xiaobo Zhou, Shuxin Ge, Jiancheng Chi, Tie Qiu. |
| 250 | |a 1st ed. 2024. | ||
| 264 | 1 | |a Singapore : |b Springer Nature Singapore : |b Imprint: Springer, |c 2024. | |
| 300 | |a 1 online resource (XIII, 206 p. 114 illus.). |b 114 illus. in color. | ||
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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. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
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| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
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