DRL-based dependent task offloading with delay-energy tradeoff in medical image edge computing

Abstract Task offloading solves the problem that the computing resources of terminal devices in hospitals are limited by offloading massive radiomics-based medical image diagnosis model (RIDM) tasks to edge servers (ESs). However, sequential offloading decision-making is NP-hard. Representing the de...

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Podrobná bibliografie

Hlavní autoři:	Qi Liu, Zhao Tian, Ning Wang, Yusong Lin
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2024-01-01
Edice:	Complex & Intelligent Systems
Témata:	Task offloading Medical image cloud Deep reinforcement learning Directed acyclic graph Soft actor-critic
On-line přístup:	https://doi.org/10.1007/s40747-023-01322-x
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