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Broadband Internet Performance: A View from the Gateway Srikanth Sundaresan, Walter de Donato, Nick Feamster, Renata Teixeira, Sam Crawford, Antonio Pescapè.

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Presentation on theme: "Broadband Internet Performance: A View from the Gateway Srikanth Sundaresan, Walter de Donato, Nick Feamster, Renata Teixeira, Sam Crawford, Antonio Pescapè."— Presentation transcript:

1 Broadband Internet Performance: A View from the Gateway Srikanth Sundaresan, Walter de Donato, Nick Feamster, Renata Teixeira, Sam Crawford, Antonio Pescapè Georgia Tech University of Napoli CNRS/UPMC Sorbonne Universités SamKnows

2 What Affects Broadband Performance? Important for regulators, consumers, ISPs Notion of performance is fuzzy – What metrics should we measure? – How to measure them? Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August

3 Accurate Measurements are Difficult End host measurements are not continuous, and affected by confounding factors Home Network: AT&T DSL 6 Mbps Down, 512 Kbps Up Last Mile ISP Network speedtest.net: 4.4 Mbps, 140 Kbps Netalyzr: 4.8 Mbps, 430 Kbps Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August

4 The Case For the Gateway Gateway enables periodic measurements, and can account for confounding factors Home Network: AT&T DSL 6 Mbps Down, 512 Kbps Up Last Mile ISP Network speedtest.net: 4.4 Mbps, 140 Kbps Netalyzr: 4.8 Mbps, 430 Kbps Gateway: 5.6 Mbps, 460 Kbps Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August

5 Contributions Study of access networks from the gateway Insight into how to benchmark performance – Effect of measurement technique, traffic shaping – Effect of access link properties, home equipment Insight into broadband performance – Consistency of performance – Loss, jitter, time-of-day effects Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August

6 The Deployments Breadth: The FCC/SamKnows study – 4,000 gateways, 16 ISPs, multiple service plans Depth: The BISmark study – 16 gateways in Atlanta, on-demand measurements Duration: Dec 2010 – Jan 2011 SamKnows/BISmark Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August Last Mile Internet Nearby Server

7 Results: Overview Throughput measurement technique depends on usage scenario Traffic shaping is highly variable across users Access link characteristics affect performance Modem buffers induce high latency Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August

8 Results: Overview Throughput measurement technique depends on usage scenario Traffic shaping is highly variable across users Access link characteristics affect performance Modem buffers induce high latency Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August

9 Interpreting Throughput Results Different techniques measure different aspects of throughput Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August

10 Results: Overview Throughput measurement technique depends on usage scenario Traffic shaping is highly variable across users Access link characteristics affect performance Modem buffers induce high latency Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August

11 Traffic Shaping: PowerBoost Cable companies advertise “PowerBoost” – Short bursts of high bandwidth Non-existent in DSL Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August

12 Traffic Shaping Varies Across Users Short-term throughput significantly different from sustainable throughput Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August

13 Results: Overview Throughput measurement technique depends on usage scenario Traffic shaping is highly variable across users Access link characteristics affect performance Modem buffers induce high latency Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August

14 Latency Measurements Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August ParameterWhat it captures End-to-end Latency to nearby server Last-mile Latency to edge of ISP network Under Load Buffer delays due to cross traffic

15 DSL last-mile latencies can be very high Impact of Last-mile on Latency Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August Cable ISPs DSL ISPs

16 DSL Interleaving Affects Latency Fastpath is susceptible to bursty loss Fastpath sends data in order, can recover from single losses Interleaving sends data out-of-order, can recover from bursty loss Fastpath vs. Interleaved last-mile data path Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August Extra Delay

17 Example: Latency-Throughput Tradeoff Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August User 2: high latency, low loss User 1: low latency, high loss Throughput (Mbits/s) Latency (ms) Both users have same service plan Interleaving decreases loss, increases latency, improves throughput Interleaving creates a trade-off between latency and throughput

18 Results: Overview Throughput measurement technique depends on usage scenario Traffic shaping is highly variable across users Access link characteristics affect performance Modem buffers induce high latency Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August

19 Modem Buffers are Too Large Service plans can interact badly with modem buffers Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August seconds!

20 Conclusion The gateway provides unique insight into home network Throughput measurements are affected by measurement technique, shaping Latency is affected by last-mile, buffering ISPs generally deliver consistent throughput, with some time-of-day effects How to mitigate buffering effects Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August

21 Future Work BISmark node deployment across the world – Currently nodes in US, South Africa Performance monitoring from the edge – Effect of peering on performance – IPv6 performance – Effect of CDN location, traffic engineering on application performance Measure the home network Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August

22 Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August

23 Previous Studies Measurement from outside – Dischinger et al [1] initiated measurements from wide area server – Indirect measurements, not continuous Measurements from inside – Endhost based measurements – Grenouille [2], Netalyzr [3] – Can’t account for confounding factors [1] Characterizing Residential Broadband Networks IMC 2007 [2] [3] Netalyzr: Illuminating the Network Edge IMC 2010http://netalyzr.icsi.berkeley.edu Broadband Internet Performance: A View from the Gateway ACM SIGCOMM, Toronto., August


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