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020 _a9789819747528
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024 7 _a10.1007/978-981-97-4752-8
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072 7 _aUKN
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100 1 _aZhou, Xiaobo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982730
245 1 0 _aIndustrial Edge Computing
_h[electronic resource] :
_bArchitecture, Optimization and Applications /
_cby Xiaobo Zhou, Shuxin Ge, Jiancheng Chi, Tie Qiu.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXIII, 206 p. 114 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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505 0 _aChapter 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 _aThis 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.
650 0 _aComputer networks .
_960157
650 0 _aCloud Computing.
_958386
650 0 _aCooperating objects (Computer systems).
_964303
650 1 4 _aComputer Communication Networks.
_965689
650 2 4 _aCloud Computing.
_958386
650 2 4 _aCyber-Physical Systems.
_965638
700 1 _aGe, Shuxin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982731
700 1 _aChi, Jiancheng.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982732
700 1 _aQiu, Tie.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_972148
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9789819747542
856 4 0 _uhttps://doi.org/10.1007/978-981-97-4752-8
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