Deep Reinforcement Learning-Based Task Scheduling in IoT Edge Computing

Deep Reinforcement Learning-Based Task Scheduling in IoT Edge Computing

Edge computing (EC) has recently emerged as a promising paradigm that supports resource-hungry Internet of Things (IoT) applications with low latency services at the network edge. However, the limited capacity of computing resources at the edge server poses great challenges for scheduling applicatio...

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Bibliographic Details
Main Authors: Shuran Sheng, Peng Chen, Zhimin Chen, Lenan Wu, Yuxuan Yao
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
Internet of Things (IoT)
edge computing
task scheduling
markov decision process (MDP)
deep reinforcement learning (DRL)
Online Access:https://www.mdpi.com/1424-8220/21/5/1666

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https://www.mdpi.com/1424-8220/21/5/1666

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