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Measuring Latency Variation in the Internet
Karlstad University, Sweden.
RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.ORCID-id: 0000-0002-1445-2169
Karlstad University, Sweden.
Karlstad University, Sweden.
2016 (Engelska)Ingår i: Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies, ACM Press, 2016, s. 473-480Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

We analyse two complementary datasets to quantify the latency variation experienced by internet end-users: (i) a large-scale active measurement dataset (from the Measurement Lab Network Diagnostic Tool) which shed light on long-term trends and regional differences; and (ii) passive measurement data from an access aggregation link which is used to analyse the edge links closest to the user.

The analysis shows that variation in latency is both common and of significant magnitude, with two thirds of samples exceeding 100, ms of variation. The variation is seen within single connections as well as between connections to the same client. The distribution of experienced latency variation is heavy-tailed, with the most affected clients seeing an order of magnitude larger variation than the least affected. In addition, there are large differences between regions, both within and between continents. Despite consistent improvements in throughput, most regions show no reduction in latency variation over time, and in one region it even increases.

We examine load-induced queueing latency as a possible cause for the variation in latency and find that both datasets readily exhibit symptoms of queueing latency correlated with network load. Additionally, when this queueing latency does occur, it is of significant magnitude, more than 200\,ms in the median. This indicates that load-induced queueing contributes significantly to the overall latency variation.

Ort, förlag, år, upplaga, sidor
ACM Press, 2016. s. 473-480
Nyckelord [en]
Latency, Bufferbloat, Access Network Performance
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:ri:diva-30100DOI: 10.1145/2999572.2999603Scopus ID: 2-s2.0-85009776733OAI: oai:DiVA.org:ri-30100DiVA, id: diva2:1127982
Konferens
12th International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2016), December 12-15, 2016, Irvine, US
Projekt
READYTillgänglig från: 2017-07-20 Skapad: 2017-07-20 Senast uppdaterad: 2023-05-10Bibliografiskt granskad

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Ahlgren, Bengt

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