{"title":"Trend Based Bandwidth Provisioning: An Online Approach for Traffic Engineered Tunnels","authors":"S. Dasgupta, J. de Oliveira, J. Vasseur","doi":"10.1109/NGI.2008.14","DOIUrl":null,"url":null,"abstract":"In this paper, a novel dynamic bandwidth provisioning scheme for traffic engineered tunnels is proposed. The mechanism uses information from the traffic trend to make resizing decisions and is designed to lower signaling and computational overhead while meeting QoS constraints. The traffic trend is observed using a slope estimator and a memory moderator unit. The slope estimator periodically analyzes traffic for growth and spikes whereas the memory moderator keeps track of traffic history and uses it to influence the update in reservation. Key metrics are identified and detailed analysis is then undertaken to gauge the performance of this approach. Accurate simulations on realistic traffic profiles and topologies show effective resizing and reduction in signaling overhead. A comparison with similar state-of-the-art mechanisms is also discussed.","PeriodicalId":182496,"journal":{"name":"2008 Next Generation Internet Networks","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Next Generation Internet Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NGI.2008.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this paper, a novel dynamic bandwidth provisioning scheme for traffic engineered tunnels is proposed. The mechanism uses information from the traffic trend to make resizing decisions and is designed to lower signaling and computational overhead while meeting QoS constraints. The traffic trend is observed using a slope estimator and a memory moderator unit. The slope estimator periodically analyzes traffic for growth and spikes whereas the memory moderator keeps track of traffic history and uses it to influence the update in reservation. Key metrics are identified and detailed analysis is then undertaken to gauge the performance of this approach. Accurate simulations on realistic traffic profiles and topologies show effective resizing and reduction in signaling overhead. A comparison with similar state-of-the-art mechanisms is also discussed.