{"title":"A Reactive Traffic Flow Estimation in Software Defined Networks","authors":"Shuangyin Ren, Gaigai Tang","doi":"10.1109/ICCCS49078.2020.9118430","DOIUrl":null,"url":null,"abstract":"Software Defined Networks paradigm decouples network control from switches and is directly programmable. A relatively centralized control plane together with developed APIs between control and data plane allows it to retrieve a global view of network traffic. Traffic estimation algorithm, which aims to generate a realtime and precise traffic flow undergoing with acceptable overhead, is fundamental for traffic engineering and QoS guarantee. A few traffic estimation algorithms is proposed based on Software Defined Networks paradigm, such as Flowsense and Payless. We propose a reactive traffic estimation algorithm to retrieve network traffic information. This reactive traffic estimation algorithm sends two query messages after a flow table is installed, and estimates upper bound bandwidth. We run a simulation on Mininet with Ryu as controller and OVS as data plane switch to test proposed algorithm. Simulation shows that this algorithm shows a better comprehensive performance in aspect of realtime and bandwidth overhead.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"2 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 5th International Conference on Computer and Communication Systems (ICCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCS49078.2020.9118430","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Software Defined Networks paradigm decouples network control from switches and is directly programmable. A relatively centralized control plane together with developed APIs between control and data plane allows it to retrieve a global view of network traffic. Traffic estimation algorithm, which aims to generate a realtime and precise traffic flow undergoing with acceptable overhead, is fundamental for traffic engineering and QoS guarantee. A few traffic estimation algorithms is proposed based on Software Defined Networks paradigm, such as Flowsense and Payless. We propose a reactive traffic estimation algorithm to retrieve network traffic information. This reactive traffic estimation algorithm sends two query messages after a flow table is installed, and estimates upper bound bandwidth. We run a simulation on Mininet with Ryu as controller and OVS as data plane switch to test proposed algorithm. Simulation shows that this algorithm shows a better comprehensive performance in aspect of realtime and bandwidth overhead.