Characterizing residential broadband networks

By Marcel Dischinger, Andreas Haeberlen, Krishna P. Gummadi, Stefan Saroiu. ACM/SIGCOMM Internet Measurement Conference, 2007

389 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/3fc1899804656dd752ee0eb538d1d0262535216e

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

The Internet of Things vision: Key features, applications and open issues (2014, background): “A part of them relies on real experiments to measure and characterize the traffic through the access network, such as [224,225].”
A tool for the generation of realistic network workload for emerging networking scenarios (2012, background): “In the networking community, there is an increasing interest on both the performance of the Broadband Internet [51–54] and on the so-called ‘‘Network Neutrality’’ [49,50], giving rise to a lively debate involving both technical and socio-economical issues [55–58].”
BreadCrumbs: forecasting mobile connectivity (2008, background): “This claim is validated by a recent measurement study [8] that found residential broadband links are overwhelmingly the bottleneck in endto-end Internet paths.”
Netalyzr: illuminating the edge network (2010, background): “studied network-level performance characteristics, including link capacities, latencies, jitter, loss, and packet queue management [8].”
Who is tweeting on Twitter: human, bot, or cyborg? (2010, background): “Are there any other temporal properties of Twitter users helpful for differentiation among human, bot, and cyborg? Many research works like [11] and [9] have shown the weekly and diurnal access patterns of humans in the Internet.”
On dominant characteristics of residential broadband internet traffic (2009, background): “’s studies based on backbone traces [19, 9, 10], other work that examined specific applications like P2P-assisted content distribution [27] and Skype [7], or studies using active measurements [12].”
Broadband internet performance: a view from the gateway (2011, background): “Previous work has studied the typical download and upload rates of home access networks [12, 24]; others have found that modems often have large buffers [24], and that DSL links often have high latency [26].”
Peer-assisted content distribution in Akamai netsession (2013, background): “This bandwidth is typically much smaller than the downstream bandwidth [11].”
Greening the internet with nano data centers (2009, background): “[14], while the lower bound is derived from set-top-box activity traces, exploiting the fact that if a user is accessing content, his DSL gateway must be up.”
Reliable Client Accounting for Hybrid Content-Distribution Networks (2012, methodology): “We assigned client link capacities by randomly sampling from a measured distribution of download and upload speeds in residential broadband networks [16].”
Watching television over an IP network (2008, background): “Unlike patterns of Internet usage [18], Friday and Saturday consistently had the lowest evening peaks within the week.”
Anatomizing application performance differences on smartphones (2010, background): “1 Mbps, which is lower than measured downlink rates for broadband DSL or cable networks [5].”
Versatile, scalable, and accurate simulation of distributed applications and platforms (2014, neutral): “Similar findings have been reported for broadband access networks [28].”
Controlling queue delay (2012, background): “…evidence has accumulated that this whistling in the dark cannot continue without severely impacting Internet usage: independent measurement studies 4,13 have found edge queuing delays from hundreds of milliseconds up to multiple seconds. neArLY Three deCAdes after it was first diagnosed, the…”
Detecting Automation of Twitter Accounts: Are You a Human, Bot, or Cyborg? (2012, background): “Many research works like [36] and [37] have shown the weekly and diurnal access patterns of humans in the Internet.”