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Leveraging Context-Triggered Measurements to Characterize LTE Handover Performance Read chapter Read first chapter

2019 | OriginalPaper | Chapter

How to Find Correlated Internet Failures

Authors : Ramakrishna Padmanabhan, Aaron Schulman, Alberto Dainotti, Dave Levin, Neil Spring

Published in: Passive and Active Measurement

Publisher: Springer International Publishing

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Abstract

Even as residential users increasingly rely upon the Internet, connectivity sometimes fails. Characterizing small-scale failures of last mile networks is essential to improving Internet reliability.
In this paper, we develop and evaluate an approach to detect Internet failure events that affect multiple users simultaneously using measurements from the Thunderping project. Thunderping probes addresses across the U.S. When the areas in which they are geo-located are affected by severe weather alerts. It detects a disruption event when an IP address ceases to respond to pings. In this paper, we focus on simultaneous disruptions of multiple addresses that are related to each other by geography and ISP, and thus are indicative of a shared cause. Using binomial testing, we detect groups of per-IP disruptions that are unlikely to have happened independently. We characterize these dependent disruption events and present results that challenge conventional wisdom on how such outages affect Internet address blocks.

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Appendix
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Footnotes
1
Since disruptions are a superset of outages and dynamic reassignment [16], frequent disruptions are not necessarily indicative of poor Internet connectivity. Also, the existence of many aggregates with few disruptions indicates that Thunderping often pinged addresses during weather conditions that were not conducive to disruptions.
 
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Metadata
Title
How to Find Correlated Internet Failures
Authors
Ramakrishna Padmanabhan
Aaron Schulman
Alberto Dainotti
Dave Levin
Neil Spring
Copyright Year
2019
Book
Passive and Active Measurement

Print ISBN: 978-3-030-15985-6

Electronic ISBN: 978-3-030-15986-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-15986-3_14

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