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BoR (16) 230 Internet Policy and Independent Network Performance Measurement Collin Anderson BEREC Expert Workshop on IP Interconnection Overview of Measurement Lab International Collaboration, Interdisciplinary, Open, Reviewed Modern


  1. BoR (16) 230 Internet Policy and Independent Network Performance Measurement Collin Anderson BEREC Expert Workshop on IP Interconnection

  2. Overview of Measurement Lab

  3. International Collaboration, Interdisciplinary, Open, Reviewed Modern Research

  4. Servers on Every Continent, M-Lab’s Global Footprint Infrastructure Diversity

  5. Throughput Measurements • M-Lab hosts two active throughput measurements: • Network Diagnostic Tool (NDT) • BISmark • NDT is integrated with numerous applications and receives about 100,000 tests per day. • Nearly every country is well- covered.

  6. How Does M-Lab Collect Its Data?

  7. Measurement Clients Performance measurement clients for informing users of their network capacity.

  8. Software Integrations Providing network information to software to enable better user experience.

  9. Partnerships with Regulatory Agencies Monitoring the progress of broadband deployment for policy- making.

  10. Consumer Measurement and Policy Case Study Interconnection Disputes in the United States

  11. The Regulator’s Problem • Utilization and performance data is proprietary and hidden from the public. • User collected information is often unreliable, incomparable, methodologically inconsistent and narrowly scoped. • Longitudinal data is rare, so is comparative measurement. • Independent data is expensive, collection e ff orts are burdensome.

  12. Network Diagnostic Tool • M-Lab’s most popular hosted test, tens of thousands of measurements daily. • Simple test of bulk transfer capacity. • Multiple NDT implementations available, across di ff erent languages and for diversity of purposes. • All implementations share the same methodology and are inter compatible.

  13. Interconnection Measuring Performance Bulk Transfer Capacity

  14. 1 3 5 Transit ISP X Transit ISP Y Transit ISP X Transit ISP Y Transit ISP X Transit ISP Y Methodology Network Interconnection s Inferring the Source of Congestion ✓ Access ISP A Access ISP B Access ISP A Access ISP B 2 4 Transit ISP X Transit ISP Y Transit ISP X Transit ISP Y ? ✓ ? ? Access ISP A Access ISP B Access ISP A Access ISP B Access ISP A Access ISP B

  15. Inferring Sources of Using New York’s Comparison Congestion in Practice

  16. Inferring Sources of Using New York’s Comparison Congestion in Practice

  17. Inferring Sources of US Access ISPs and Cogent (2013-2014) Congestion in Practice

  18. Inferring Sources of US Access ISPs and Cogent (2013-2014) Congestion in Practice

  19. Internet Performance Varies Significantly Throughout the Day and Across Interconnections

  20. Diurnal Patterns Are Expectations of Normal Performance Instructive

  21. Diurnal Patterns Are Expectations of Congested Performance Instructive

  22. Diurnal Cycles In Practice Peak Hours, Peak Disruption

  23. Not Limited to Throughput Latency Sensitive Applications A ff ected

  24. Not Limited to One Transit Level 3 and Verizon Provider

  25. Congestion is Continuing Congestion as of Q4 2014

  26. Public Interest Data • Interconnection Study results were referred to in filings to United States regulator agency since the start of this year alone. • M-Lab data has been used by public interest organizations, private companies and individual citizens representing all sides of the debate. • Cited in dozens of media articles in interconnection.

  27. Next Steps for Measurement Lab Measurement Volume and Site Expansion

  28. Partners and Integrations Increased Test Volume

  29. New Sites in Europe Increased Test Volume

  30. Internet Policy and Independent Network Performance Measurement Collin Anderson collin@measurementlab.net

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