N. Wu, Yingjie Bi, Nithin Michael, A. Tang, J. Doyle, N. Matni
{"title":"HFTraC: High-Frequency Traffic Control","authors":"N. Wu, Yingjie Bi, Nithin Michael, A. Tang, J. Doyle, N. Matni","doi":"10.1145/3078505.3078557","DOIUrl":null,"url":null,"abstract":"We propose high-frequency traffic control (HFTraC), a rate control scheme that coordinates the transmission rates and buffer utilizations in routers network-wide at fast timescale. HFTraC can effectively deal with traffic demand fluctuation by utilizing available buffer space in routers network-wide, and therefore lead to significant performance improvement in terms of tradeoff between bandwidth utilization and queueing delay. We further note that the performance limit of HFTraC is determined by the network architecture used to implement it. We provide trace-driven evaluation of the performance of HFTraC implemented in the proposed architectures that vary from fully centralized to completely decentralized.","PeriodicalId":133673,"journal":{"name":"Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3078505.3078557","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
We propose high-frequency traffic control (HFTraC), a rate control scheme that coordinates the transmission rates and buffer utilizations in routers network-wide at fast timescale. HFTraC can effectively deal with traffic demand fluctuation by utilizing available buffer space in routers network-wide, and therefore lead to significant performance improvement in terms of tradeoff between bandwidth utilization and queueing delay. We further note that the performance limit of HFTraC is determined by the network architecture used to implement it. We provide trace-driven evaluation of the performance of HFTraC implemented in the proposed architectures that vary from fully centralized to completely decentralized.