{"title":"具有服务质量的软件定义网络中的智能自适应路由算法","authors":"D. Perepelkin, M. Ivanchikova","doi":"10.1109/ELEKTRO49696.2020.9130361","DOIUrl":null,"url":null,"abstract":"Currently, the most popular approach in information technology and computer networks is technology of software defined networks (SDN). Its main feature is separation of data plane and control plane levels, as well as support of specified requirements for the quality of service (QoS) of network applications. The aim of this work is the development of intelligent adaptive routing algorithm in SDN with support QoS. Proposed algorithm based on using a composite LARAC metric in that the bandwidth can be constant and the effect of transmission delay varies depending on the control coefficient. To implement the algorithm comparative analysis and experimental research of different neural network architectures were carried out. Also a model that allows the highest accuracy of optimal routes search in SDN with support multiple QoS parameters was developed.","PeriodicalId":165069,"journal":{"name":"2020 ELEKTRO","volume":"143 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent Adaptive Routing Algorithm in Software Defined Networks with Quality of Service\",\"authors\":\"D. Perepelkin, M. Ivanchikova\",\"doi\":\"10.1109/ELEKTRO49696.2020.9130361\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Currently, the most popular approach in information technology and computer networks is technology of software defined networks (SDN). Its main feature is separation of data plane and control plane levels, as well as support of specified requirements for the quality of service (QoS) of network applications. The aim of this work is the development of intelligent adaptive routing algorithm in SDN with support QoS. Proposed algorithm based on using a composite LARAC metric in that the bandwidth can be constant and the effect of transmission delay varies depending on the control coefficient. To implement the algorithm comparative analysis and experimental research of different neural network architectures were carried out. Also a model that allows the highest accuracy of optimal routes search in SDN with support multiple QoS parameters was developed.\",\"PeriodicalId\":165069,\"journal\":{\"name\":\"2020 ELEKTRO\",\"volume\":\"143 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 ELEKTRO\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELEKTRO49696.2020.9130361\",\"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 ELEKTRO","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELEKTRO49696.2020.9130361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent Adaptive Routing Algorithm in Software Defined Networks with Quality of Service
Currently, the most popular approach in information technology and computer networks is technology of software defined networks (SDN). Its main feature is separation of data plane and control plane levels, as well as support of specified requirements for the quality of service (QoS) of network applications. The aim of this work is the development of intelligent adaptive routing algorithm in SDN with support QoS. Proposed algorithm based on using a composite LARAC metric in that the bandwidth can be constant and the effect of transmission delay varies depending on the control coefficient. To implement the algorithm comparative analysis and experimental research of different neural network architectures were carried out. Also a model that allows the highest accuracy of optimal routes search in SDN with support multiple QoS parameters was developed.
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