Placeholder text

Go to cart

Intelligent Resource Scheduling in End-Edge-Cloud Networks

By Weiting Zhang

Intelligent Resource Scheduling in End-Edge-Cloud Networks

By Weiting Zhang

0 - Default Title
Description
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.
Product details
Number of Pages:
160
Release Date:
2026-01-10
Publication Date:
2026-01-10
Publisher:
Springer
Languages:
Original: English
ISBN10:
3032076668
ISBN13:
9783032076663
GPSR Manufacturer Reference:
[email protected]
Weight:
410 g
Height:
160 cm
Width:
241 cm
Thickness:
15 cm
Buy on Amazon
Currently sold out