Task Offloading With Service Migration for Satellite Edge Computing: A Deep Reinforcement Learning Approach

Satellite networks with edge computing servers promise to provide ubiquitous and low-latency computing services for the Internet of Things (IoT) applications in the future satellite-terrestrial integrated network (STIN). For some emerging IoT applications, the services require real-time user-depende...

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Hlavní autoři:	Haonan Wu, Xiumei Yang, Zhiyong Bu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Access
Témata:	Satellite edge computing (SEC) task offloading service migration deep reinforcement learning (DRL)
On-line přístup:	https://ieeexplore.ieee.org/document/10439163/
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