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Towards an Optimized Distributed Message Queue System for AIoT Edge Computing: A Reinforcement Learning Approach.

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第一作者： Zaipeng,Xie

第一单位： Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing 211100, China.;Department of Computer Science and Technology, Hohai University, Nanjing 211100, China.

作者： Zaipeng,Xie ^[1] ; Cheng,Ji ^[2] ; Lifeng,Xu ^[2] ; Mingyao,Xia ^[2] ; Hongli,Cao ^[3]

作者单位： Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing 211100, China.;Department of Computer Science and Technology, Hohai University, Nanjing 211100, China. ^[1] Department of Computer Science and Technology, Hohai University, Nanjing 211100, China. ^[2] Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing 210096, China. ^[3]

关键词 AIoT edge computing artificial intelligence of things distributed message queue reinforcement learning approach system throughput performance

医学主题词人工智能(Artificial Intelligence);学习(Learning);算法(Algorithms);计算机通信网络(Computer Communication Networks);工业(Industry)

DOI 10.3390/s23125447

PMID 37420614

发布时间 2023-07-18

基金项目

2021490811/State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering 2016YFC0402710/National Key R&D Program of China

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准确一般字义偏差语意偏离译文作用小提交