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5G edge computing = technologies, applications and future visions /

Record Type:	Electronic resources : Monograph/item
Title/Author:	5G edge computing/ by Xiao Ma ... [et al.].
Reminder of title:	technologies, applications and future visions /
other author:	Ma, Xiao.
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	x, 206 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Chapter 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.
Contained By:	Springer Nature eBook
Subject:	Edge computing. -
Online resource:	https://doi.org/10.1007/978-981-97-0213-8
ISBN:	9789819702138

5G edge computing = technologies, applications and future visions /
5G edge computingtechnologies, applications and future visions /[electronic resource] :by Xiao Ma ... [et al.]. - Singapore :Springer Nature Singapore :2024. - x, 206 p. :ill. (some col.), digital ;24 cm.

Chapter 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.

ISBN: 9789819702138

Standard No.: 10.1007/978-981-97-0213-8doiSubjects--Topical Terms:

3489844
Edge computing.

LC Class. No.: QA76.583

Dewey Class. No.: 005.758

5G edge computing = technologies, applications and future visions /
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260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a x, 206 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Chapter 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.
650 0 $a Edge computing. $3 3489844
650 0 $a 5G mobile communication systems. $3 3445292
650 1 4 $a Mobile Computing. $3 3201332
650 2 4 $a Cloud Computing. $3 3231328
650 2 4 $a Design and Analysis of Algorithms. $3 3538532
650 2 4 $a System Performance and Evaluation. $3 891353
650 2 4 $a Computational Complexity. $3 3538876
700 1 $a Ma, Xiao. $3 3434845
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