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dc.contributor.authorDhamdhere, Amoghen_NZ
dc.contributor.authorClark, David D.en_NZ
dc.contributor.authorGamero-Garrido, Alexanderen_NZ
dc.contributor.authorLuckie, Matthew Johnen_NZ
dc.contributor.authorMok, Ricky K. P.en_NZ
dc.contributor.authorAkiwate, Gautamen_NZ
dc.contributor.authorGogia, Kabiren_NZ
dc.contributor.authorBajpai, Vaibhaven_NZ
dc.contributor.authorSnoeren, Alex C.en_NZ
dc.contributor.authorclaffy, kcen_NZ
dc.coverage.spatialConference held Budapest, Hungaryen_NZ
dc.date.accessioned2019-11-18T22:41:38Z
dc.date.available2018en_NZ
dc.date.available2019-11-18T22:41:38Z
dc.date.issued2018en_NZ
dc.identifier.citationDhamdhere, A., Clark, D. D., Gamero-Garrido, A., Luckie, M., Mok, R. K. P., Akiwate, G., … claffy, kc. (2018). Inferring persistent interdomain congestion. In Proceedings of 2018 Conference of the ACM Special Interest Group on Data Communication (SIGCOMM’18) (pp. 1–15). New York, NY, USA: ACM. https://doi.org/10.1145/3230543.3230549en
dc.identifier.isbn978-1-4503-5567-4en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/13163
dc.description.abstractThere is significant interest in the technical and policy communities regarding the extent, scope, and consumer harm of persistent interdomain congestion. We provide empirical grounding for discussions of interdomain congestion by developing a system and method to measure congestion on thousands of interdomain links without direct access to them. We implement a system based on the Time Series Latency Probes (TSLP) technique that identifies links with evidence of recurring congestion suggestive of an under-provisioned link. We deploy our system at 86 vantage points worldwide and show that congestion inferred using our lightweight TSLP method correlates with other metrics of interconnection performance impairment. We use our method to study interdomain links of eight large U.S. broadband access providers from March 2016 to December 2017, and validate our inferences against ground-truth traffic statistics from two of the providers. For the period of time over which we gathered measurements, we did not find evidence of widespread endemic congestion on interdomain links between access ISPs and directly connected transit and content providers, although some such links exhibited recurring congestion patterns. We describe limitations, open challenges, and a path toward the use of this method for large-scale third-party monitoring of the Internet interconnection ecosystem.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherACMen_NZ
dc.rights© 2018 ACM. This is the author's accepted version.
dc.sourceSIGCOMM'18en_NZ
dc.subjectcomputer scienceen_NZ
dc.subjectinternet congestionen_NZ
dc.subjectinternet topologyen_NZ
dc.subjectperformanceen_NZ
dc.titleInferring persistent interdomain congestionen_NZ
dc.typeConference Contribution
dc.identifier.doi10.1145/3230543.3230549en_NZ
dc.relation.isPartOfProceedings of 2018 Conference of the ACM Special Interest Group on Data Communication (SIGCOMM'18)en_NZ
pubs.begin-page1
pubs.elements-id226431
pubs.end-page15
pubs.finish-date2018-08-25en_NZ
pubs.place-of-publicationNew York, NY, USAen_NZ
pubs.start-date2018-08-20en_NZ


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