{"title":"基于深度强化学习的智能qos感知路由机制","authors":"Yuanyuan Cao, Bin Dai, Yijun Mo, Yang Xu","doi":"10.1109/LCN48667.2020.9314768","DOIUrl":null,"url":null,"abstract":"With the rapid development of Internet applications, diversified Quality of Service (QoS) has been required in packet routing to meet the demand of various types of applications. This paper presents an Intelligent QoS-aware Routing (IQoR) framework with the assistance of Deep Reinforcement Learning (DRL), which supports multi-class QoS provisioning for packet forwarding. The simulation results show that IQoR outperforms the widely-used benchmark routing algorithms by significantly reducing the average delay and jitter of packets.","PeriodicalId":245782,"journal":{"name":"2020 IEEE 45th Conference on Local Computer Networks (LCN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"IQoR: An Intelligent QoS-aware Routing Mechanism with Deep Reinforcement Learning\",\"authors\":\"Yuanyuan Cao, Bin Dai, Yijun Mo, Yang Xu\",\"doi\":\"10.1109/LCN48667.2020.9314768\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of Internet applications, diversified Quality of Service (QoS) has been required in packet routing to meet the demand of various types of applications. This paper presents an Intelligent QoS-aware Routing (IQoR) framework with the assistance of Deep Reinforcement Learning (DRL), which supports multi-class QoS provisioning for packet forwarding. The simulation results show that IQoR outperforms the widely-used benchmark routing algorithms by significantly reducing the average delay and jitter of packets.\",\"PeriodicalId\":245782,\"journal\":{\"name\":\"2020 IEEE 45th Conference on Local Computer Networks (LCN)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 45th Conference on Local Computer Networks (LCN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LCN48667.2020.9314768\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 45th Conference on Local Computer Networks (LCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LCN48667.2020.9314768","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
IQoR: An Intelligent QoS-aware Routing Mechanism with Deep Reinforcement Learning
With the rapid development of Internet applications, diversified Quality of Service (QoS) has been required in packet routing to meet the demand of various types of applications. This paper presents an Intelligent QoS-aware Routing (IQoR) framework with the assistance of Deep Reinforcement Learning (DRL), which supports multi-class QoS provisioning for packet forwarding. The simulation results show that IQoR outperforms the widely-used benchmark routing algorithms by significantly reducing the average delay and jitter of packets.
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