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Intelligent resource scheduling in end-edge-cloud networks /

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This book investigates technologies that enable more powerful resources and improve resource utilization for end-edge-cloud networks.The authors cover tools such as federated learning (FL) and real-time inference in industrial IoT and they present a novel communication and computation integration ar...

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Bibliographic Details
Main Authors: Zhang, Weiting (Author), Gao, Shuai (Author), Yang, Dong (Author), Zhang, Hongke (Author), Shen, X. (Xuemin), 1958- (Author)
Format: eBook
Language:English
Published: Cham : Springer, [2026]
Series:Wireless networks (Springer (Firm))
Subjects:
Computer network architectures.
Cloud computing.
Edge computing.
Artificial intelligence.
Réseaux d'ordinateurs > Architectures.
Intelligence artificielle.
artificial intelligence.
Electronic books.
Table of Contents:
  • Introduction
  • Overview of End-Edge-Cloud Networks
  • Communication and Computation Integration Network Architecture
  • Multi-Dimensional Resource Adaption for Hierarchical Federated Learning
  • Deterministic Transmission Scheduling for Time-Sensitive Federated Learning
  • End-Edge-Cloud Orchestration for Collaborative DNN Inference
  • Discussion of Future Directions
  • Conclusion.