典型文献
Intelligent Orchestrating of IoT Microservices Based on Reinforcement Learning
文献摘要：
With the recent increase in the number of Internet of things(IoT)services,an intelligent schedul-ing strategy is needed to manage these services.In this paper,the problem of automatic choreography of mi-croservices in IoT is explored.A type of reinforcement learning(RL)algorithm called TD3 is used to generate the optimal choreography policy under the framework of a softwaredefined network.The optimal policy is gradu-ally reached during the learning procedure to achieve the goal,despite the dynamic characteristics of the network environment.The simulation results show that compared with other methods,the TD3 algorithm converges faster after a certain number of iterations,and it performs bet-ter than other non-RL algorithms by obtaining the highest reward.The TD3 algorithm can effciently adjust the traffic transmission path and provide qualified IoT services.
文献关键词：
中图分类号：
作者姓名：
WU Yuqin;SHEN Congqi;CHEN Shuhan;WU Chunming;LI Shunbin;WEI Ruan
作者机构：
College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China;College of Information and Electrical Engineering,Ningde Normal University,Ningde 352100,China;Zhejiang Lab,Hangzhou 310012,China;College of Control Science and Engineering,Zhejiang University,Hangzhou 310027,China
文献出处：
引用格式：
[1]WU Yuqin;SHEN Congqi;CHEN Shuhan;WU Chunming;LI Shunbin;WEI Ruan-.Intelligent Orchestrating of IoT Microservices Based on Reinforcement Learning)[J].电子学报（英文）,2022(05):930-937
A类：
Orchestrating,Microservices,choreography,croservices,softwaredefined,effciently
B类：
Intelligent,IoT,Based,Reinforcement,Learning,With,recent,increase,number,Internet,things,intelligent,schedul,strategy,needed,manage,these,this,paper,problem,automatic,explored,type,reinforcement,learning,RL,called,TD3,used,generate,optimal,policy,under,framework,network,gradu,ally,reached,during,procedure,achieve,goal,despite,dynamic,characteristics,environment,simulation,results,show,that,compared,other,methods,converges,faster,after,certain,iterations,performs,bet,than,algorithms,by,obtaining,highest,reward,can,adjust,traffic,transmission,path,provide,qualified
AB值：
0.56838
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