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Persistent Last-mile Congestion: Not so Uncommon

Published: 27 October 2020 Publication History

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.

Supplementary Material

MP4 File (imc2020-269-long_01.mp4)
In this video we present an analysis of persistent last-mile congestion where we found that this type of congestion\r\nappears consistently for Atlas probes located in 10% of monitored ASes, including large eyeball networks. In addition, we recorded persistent last-mile congested probes in 55% more ASes during the COVID-19 outbreak. Our detailed analysis of Japan?s major ISPs with the help of CDN logs confirmed that detected last-mile congestion has a drastic impact on users throughput.\r\n

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      cover image ACM Conferences
      IMC '20: Proceedings of the ACM Internet Measurement Conference
      October 2020
      751 pages
      ISBN:9781450381383
      DOI:10.1145/3419394
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      Published: 27 October 2020

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      October 27 - 29, 2020
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      • (2024)Clearing Clouds from the Horizon: Latency Characterization of Public Cloud Service Platforms2024 33rd International Conference on Computer Communications and Networks (ICCCN)10.1109/ICCCN61486.2024.10637605(1-9)Online publication date: 29-Jul-2024
      • (2023)A First Look at the Spatial and Temporal Variability of Internet Performance Data in Hyperlocal GeographiesSSRN Electronic Journal10.2139/ssrn.4568668Online publication date: 2023
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      • (2022)Jitterbug: A New Framework for Jitter-Based Congestion InferencePassive and Active Measurement10.1007/978-3-030-98785-5_7(155-179)Online publication date: 22-Mar-2022
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