Intelligent Resource Scheduling in End-Edge-Cloud Networks

Language: English

Published by Springer, Springer Jan 2026, 2026

3032076668 / 9783032076663

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This item is printed on demand - Print on Demand Titel. Neuware -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 architecture for end-edge-cloud networks. Under the considered end-edge-cloud network architecture, the authors then propose different resource scheduling schemes based on centralized and distributed deep reinforcement learning methods to improve overall resource utilization for guaranteeing the diversified quality of service (QoS) requirements from different applications. The proposed architecture and schemes can not only be adopted in future end-edge-cloud networks to efficiently manage the multi-dimensional resources in real time, but also provide useful guidelines for multi-dimensional resource scheduling scheme designing and resource utilization enhancement in complex end-edge-cloud networks with diversified data services and applications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 160 pp. Englisch.

Seller Inventory # 9783032076663

Title
Intelligent Resource Scheduling in End-Edge-Cloud Networks
Author
Weiting Zhang
Publisher
Springer, Springer Jan 2026
Publication year
2026
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3032076668
ISBN 13
9783032076663
Item weight
410 grams
Dimensions
241x160x15 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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