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Time-Sensitive and Resource-Aware Concurrent Workflow Scheduling for Edge Computing Platforms Based on Deep Reinforcement Learning

The workflow scheduling on edge computing platforms in industrial scenarios aims to efficiently utilize the computing resources of edge platforms to meet user service requirements. Compared to ordinary task scheduling, tasks in workflow scheduling come with predecessor and successor constraints. The...

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Principais autores: Jiaming Zhang, Tao Wang, Lianglun Cheng
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-09-01
Serier:Applied Sciences
Fag:
edge computing
workflow scheduling
deep reinforcement learning
proximal policy optimization
transformer
Online adgang:https://www.mdpi.com/2076-3417/13/19/10689
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