ECN-Marking with CoDel and its Compatibility with Different TCP Congestion Control Algorithms

Dhulfiqar A. Alwahab, S. Laki
{"title":"ECN-Marking with CoDel and its Compatibility with Different TCP Congestion Control Algorithms","authors":"Dhulfiqar A. Alwahab, S. Laki","doi":"10.1109/ICOASE51841.2020.9436575","DOIUrl":null,"url":null,"abstract":"In order to solve the bufferbloat problem, many Active Queue Management (AQM) algorithms have been proposed, such as Random Early Detection (RED), Proportional Integral Controller Enhanced (PIE), Controlled Delay (CoDel), etc. Among them, CoDel has widely been adapted by devices at the last mile. It maintains the sojourn times of transmitted packets and compares them to a pre-defined target time. When the packet's sojourn time exceeds this target, it is interpreted as an evidence of bufferbloat and CoDel applies its drop strategy. This paper examines how CoDel performs when instead of packet dropping the Explicit Congestion Notification (ECN) marking is applied, considering Reno, Cubic and BRR congestion control algorithms in the TCP flows. The evaluation relies on the Programming Protocol-independent Packet Processors (P4) implementation of CoDel, extending it with mechanisms needed for ECN support. Results show that ECN-CoDel can significantly reduce the number of re-transmissions and properly work with classic congestion controls like TCP Cubic and TCP Reno. For TCP BBR, almost zero packet drop ratio can be experienced, but the queue delay is higher than with the original CoDel. Based on the results of this work, the characteristics of the universe AQM had been drawn in the conclusion.","PeriodicalId":126112,"journal":{"name":"2020 International Conference on Advanced Science and Engineering (ICOASE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Advanced Science and Engineering (ICOASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOASE51841.2020.9436575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In order to solve the bufferbloat problem, many Active Queue Management (AQM) algorithms have been proposed, such as Random Early Detection (RED), Proportional Integral Controller Enhanced (PIE), Controlled Delay (CoDel), etc. Among them, CoDel has widely been adapted by devices at the last mile. It maintains the sojourn times of transmitted packets and compares them to a pre-defined target time. When the packet's sojourn time exceeds this target, it is interpreted as an evidence of bufferbloat and CoDel applies its drop strategy. This paper examines how CoDel performs when instead of packet dropping the Explicit Congestion Notification (ECN) marking is applied, considering Reno, Cubic and BRR congestion control algorithms in the TCP flows. The evaluation relies on the Programming Protocol-independent Packet Processors (P4) implementation of CoDel, extending it with mechanisms needed for ECN support. Results show that ECN-CoDel can significantly reduce the number of re-transmissions and properly work with classic congestion controls like TCP Cubic and TCP Reno. For TCP BBR, almost zero packet drop ratio can be experienced, but the queue delay is higher than with the original CoDel. Based on the results of this work, the characteristics of the universe AQM had been drawn in the conclusion.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于CoDel的ecn标记及其与不同TCP拥塞控制算法的兼容性
为了解决缓冲区膨胀问题,人们提出了许多主动队列管理(AQM)算法,如随机早期检测(RED)、比例积分控制器增强(PIE)、可控延迟(CoDel)等。其中,CoDel已广泛应用于最后一英里的设备。它维护传输数据包的停留时间,并将其与预定义的目标时间进行比较。当数据包的停留时间超过这个目标时,它被解释为缓冲区膨胀的证据,CoDel应用它的丢弃策略。本文研究了当使用显式拥塞通知(ECN)标记代替丢包时,考虑TCP流中的Reno, Cubic和BRR拥塞控制算法时,CoDel的性能如何。评估依赖于CoDel的编程协议独立包处理器(P4)实现,并使用ECN支持所需的机制对其进行扩展。结果表明,ECN-CoDel可以显著减少重新传输的次数,并与TCP Cubic和TCP Reno等经典拥塞控制正常工作。对于TCP BBR,丢包率几乎为零,但队列延迟比原始CoDel高。在此基础上,得出了宇宙AQM的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
COVID-19 Diagnosis Systems Based on Deep Convolutional Neural Networks Techniques: A Review Fake News Detection Using Machine Learning and Deep Learning Algorithms Transcript Validation System using biometric characteristics COVID-19 Diagnosis from Chest X-ray Images Using Deep Learning Approach Hate Speech Detection Using Genetic Programming
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1