Persistent Last-mile Congestion: Not so Uncommon

Romain Fontugne, Anant Shah, Kenjiro Cho
{"title":"Persistent Last-mile Congestion: Not so Uncommon","authors":"Romain Fontugne, Anant Shah, Kenjiro Cho","doi":"10.1145/3419394.3423648","DOIUrl":null,"url":null,"abstract":"Last-mile is the centerpiece of broadband connectivity, as poor last-mile performance generally translates to poor quality of experience. In this work we investigate last-mile latency using traceroute data from RIPE Atlas probes located in 646 ASes and focus on recurrent performance degradation. We find that in normal times probes in only 10% ASes experience persistent last-mile congestion but we recorded 55% more congested ASes during the COVID-19 outbreak. Persistent last-mile congestion is not uncommon, it is usually seen in large eyeball networks and may span years. With the help of CDN access log data, we dissect results for major ISPs in Japan, the most severely affected country in our study, and ascertain bottlenecks in the shared legacy infrastructure.","PeriodicalId":255324,"journal":{"name":"Proceedings of the ACM Internet Measurement Conference","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM Internet Measurement Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3419394.3423648","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21

Abstract

Last-mile is the centerpiece of broadband connectivity, as poor last-mile performance generally translates to poor quality of experience. In this work we investigate last-mile latency using traceroute data from RIPE Atlas probes located in 646 ASes and focus on recurrent performance degradation. We find that in normal times probes in only 10% ASes experience persistent last-mile congestion but we recorded 55% more congested ASes during the COVID-19 outbreak. Persistent last-mile congestion is not uncommon, it is usually seen in large eyeball networks and may span years. With the help of CDN access log data, we dissect results for major ISPs in Japan, the most severely affected country in our study, and ascertain bottlenecks in the shared legacy infrastructure.
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
持续的最后一英里拥堵:并不罕见
最后一英里是宽带连接的核心,因为糟糕的最后一英里性能通常意味着糟糕的体验质量。在这项工作中,我们使用位于646个as的RIPE Atlas探测器的traceroute数据来研究最后一英里延迟,并重点研究反复出现的性能下降。我们发现,在正常情况下,只有10%的ase探针经历了持续的最后一英里拥堵,但在COVID-19爆发期间,我们记录了55%的拥堵ase。持续的最后一英里充血并不罕见,通常见于较大的眼球网络,可能持续数年。在CDN访问日志数据的帮助下,我们分析了日本主要isp的结果,这是我们研究中受影响最严重的国家,并确定了共享遗留基础设施的瓶颈。
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
Lumos5G A Bird's Eye View of the World's Fastest Networks Quantifying the Impact of Blocklisting in the Age of Address Reuse TopoScope No WAN's Land: Mapping U.S. Broadband Coverage with Millions of Address Queries to ISPs
×
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