Edge Cloud Resource Scheduling with Deep Reinforcement Learning

Designing optimal scheduling algorithms for task allocation in edge cloud clusters presents significant challenges due to the constantly changing workloads and service requests in edge cloud data center environments. These challenges stem from the need to manage the vast amounts of information trans...

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Bibliographic Details
Main Authors: Y. Feng, M. Li, J. Li, Y. Yu
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2025-04-01
Series:Radioengineering
Subjects:
Online Access:https://www.radioeng.cz/fulltexts/2025/25_01_0092_0108.pdf
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