Dissecting last-mile latency characteristics

被引:5
|
作者
Bajpai V. [1 ]
Eravuchira S.J. [2 ]
Schönwälder J. [3 ]
机构
[1] Bajpai, Vaibhav
[2] Eravuchira, Steffie Jacob
[3] Schönwälder, Jürgen
来源
| 1600年 / Association for Computing Machinery, 2 Penn Plaza, Suite 701, New York, NY 10121-0701, United States卷 / 47期
基金
欧盟地平线“2020”;
关键词
Home networks; Last-mile latency; RIPE atlas; SamKnows;
D O I
10.1145/3155055.3155059
中图分类号
学科分类号
摘要
Recent research has shown that last-mile latency is a key network performance indicator that contributes heavily to DNS lookup and page load times. Using a month-long dataset collected from 696 residential RIPE Atlas probes and 1245 SamKnows probes, we measure last-mile latencies from 19 ISPs (RIPE Atlas) in the US and the EU, and 9 ISPs (SamKnows) in the UK. We show that DSL deployments not only tend to enable interleaving on the lastmile, but also employ multiple depth levels that change over time. We also witness that last-mile latency is considerably stable over time and not affected by diurnal load patterns. Unlike observations from prior studies, we show that cable providers in the US do not generally exhibit lower last-mile latencies when compared to that of DSL. We instead identify that last-mile latencies vary by subscriber location and show that last-mile latencies of cable providers in the US are considerably different across the US east and west coast. We further show that last-mile latencies vary depending on the access technology used by the DSL modem wherein VDSL deployments show last-mile latencies lower than ADSL1/ADSL2+ broadband speeds. The entire dataset and software used in this study is made available [2] to the measurement community.Grant:-We like to thank Sam Crawford (SamKnows) for providing us traceroute datasets collected within UK access networks and giving us permission to release an anonymised version of the trace. We also thank Philip Eardley (BT) and Trevor Burbridge (BT) for reviewing our analysis. This work received funding from the European Unionâ?A Zs Horizon 2020 research and innovation programme 2014-2018 under grant agreement No. 644866, Scalable and Secure Infrastructures for Cloud Operations (SSICLOPS). This work was also partially supported by the European Communityâ?A Zs Seventh Framework Programme in (FP7/2007-2013) Grant No. 317647 (Leone) and by Flamingo, a Network of Excellence project (ICT-318488) supported by the European Commission under its Seventh Framework Programme.
引用
收藏
页码:27 / 34
页数:7
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