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024 7 _a10.1007/978-981-97-0213-8
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100 1 _aMa, Xiao.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9101308
245 1 0 _a5G Edge Computing
_h[electronic resource] :
_bTechnologies, Applications and Future Visions /
_cby Xiao Ma, Mengwei Xu, Qing Li, Yuanzhe Li, Ao Zhou, Shangguang Wang.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aX, 206 p. 85 illus., 52 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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505 0 _aChapter 1. Background -- Chapter 2. Recent Advancements of Public Edge Platforms -- Chapter 3. Edge Workload Prediction based on Deep Learning -- Chapter 4. Edge Computing based Computation Offloading -- Chapter 5. DynamicWorkload Scheduling in Edge Computing -- Chapter 6. Edge Service Caching -- Chapter 7. Edge Resource Provisioning -- Chapter 8. Edge Computing for 5G and 5G-based Mobile Edge Computing System -- Chapter 9. Visions of Edge Computing in 6G -- Chapter 10 Conclusions and Future Directions.
520 _aEdge computing has been identified as one of the key technologies for 5G networks and beyond due to two prominent advantages: low network latency and reduced core network load. By empowering cloud capabilities and IT service environments at the network edge, edge computing can well support applications of 5G and beyond, such as augmented/virtual reality (AR/VR), vehicular network (ultra-reliable low-latency communication services),Internet of Things (massive machine type communication services), and mobile high-definition video (enhanced mobile broadband services). Therefore, edge computing has attracted the attention of both industry and academia since its emergence. This book highlights the progress of 5G edge computing in both industry and academia according to our long-term efforts, including the current practice of public edge providers, the research process of edge computing from academia, the integration of edge computing with 5G, and the future visions of edge computing in the 6G era. From this book, the readers can benefit from: (1) the first comprehensive measurement study on a leading public edge platform, NEP (next-generation edge platform); 2) a clear and in-depth introduction of the key technologies of 5G edge computing; (3) the latest progress of 5G-integrated edge computing; and (4) pioneering exploration of 6G edge computing based on Tiansuan constellation - an open satellite-terrestrial integrated platform. Both the researchers from academia or practitioners from industry can benefit significantly from this book.
650 0 _aMobile computing.
_93438
650 0 _aCloud Computing.
_94659
650 0 _aAlgorithms.
_93390
650 0 _aElectronic digital computers
_xEvaluation.
_921495
650 0 _aComputational complexity.
_93729
650 1 4 _aMobile Computing.
_93438
650 2 4 _aCloud Computing.
_94659
650 2 4 _aDesign and Analysis of Algorithms.
_931835
650 2 4 _aSystem Performance and Evaluation.
_932047
650 2 4 _aComputational Complexity.
_93729
700 1 _aXu, Mengwei.
_eauthor.
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_9101312
700 1 _aLi, Qing.
_eauthor.
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_4http://id.loc.gov/vocabulary/relators/aut
_9101313
700 1 _aLi, Yuanzhe.
_eauthor.
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_4http://id.loc.gov/vocabulary/relators/aut
_9101314
700 1 _aZhou, Ao.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9101315
700 1 _aWang, Shangguang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9101317
710 2 _aSpringerLink (Online service)
_9101320
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:
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856 4 0 _uhttps://doi.org/10.1007/978-981-97-0213-8
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