Internet Policy and Independent Network Performance Measurement
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1 Internet Policy and Independent Network Performance Measurement APRICOT 2015 Collin Anderson
2 Overview of Measurement Lab
3 International Collaboration, Modern Research Interdisciplinary, Open, Reviewed
4 M-Lab s Global Footprint Servers on Every Continent, Infrastructure Diversity
5 M-Lab s Global Footprint Sixteen Tests; Measurements from Every Country
6 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 wellcovered.
7 Network Transparency Three active tests: Shaperprobe Glasnost Neubot Open Observatory of Network Interference (OONI) Measure differential traffic performance and traffic classification regimes. Detect manipulation.
8 Path Information Collect paris-traceroute information for every measurement.
9 How Does M-Lab Collect Its Data?
10 Measurement Clients Performance measurement clients for informing users of their network capacity.
11 Software Integrations Providing network information to software to enable better user experience.
12 Partnerships with Regulatory Agencies Monitoring the progress of broadband deployment for policymaking.
13 Consumer Measurement and Policy Case Study Interconnection Disputes in the United States
14 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 efforts are burdensome.
15 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 different languages and for diversity of purposes. All implementations share the same methodology and are inter compatible.
16 Interconnection Measuring Performance Bulk Transfer Capacity
17 Transit ISP X Transit ISP Y 1 Transit ISP X Transit ISP Y Methodology Inferring the Source of Congestion Network Interconnection s Access ISP A Access ISP B
18 Access ISP A Access ISP B 2 Transit ISP X Transit ISP Y? Methodology? Inferring the Source of Congestion? Access ISP A Access ISP B
19 ransit ISP X Transit ISP Y Transit ISP X Transit ISP Y 3 ork tion s Methodology Inferring the Source of Congestion ccess ISP A Access ISP B Access ISP A Access ISP B ansit ISP X Transit ISP Y Transit ISP X Transit ISP Y
20 cess ISP A Access ISP B Access ISP A Access ISP B 4 sit ISP X Transit ISP Y Transit ISP X Transit ISP Y Methodology Inferring the Source of Congestion ss ISP A Access ISP B Access ISP A Access ISP B
21 3 5 Transit ISP X Transit ISP Y Transit ISP X Transit ISP Y Methodology Access ISP A Access ISP B 4 Inferring the Source of Congestion Transit ISP X Transit ISP Y Access ISP A Access ISP B Access ISP A Access ISP B
22 Sufficient Sample The United States Constitutes the Largest Source of this Data
23 Inferring Sources of Congestion in Practice Using New York s Comparison
24 Inferring Sources of Congestion in Practice Using New York s Comparison
25 Inferring Sources of Congestion in Practice US Access ISPs and Cogent ( )
26 Inferring Sources of Congestion in Practice US Access ISPs and Cogent ( )
27 Internet Performance Varies Significantly Throughout the Day and Across Interconnections
28 Diurnal Patterns Are Instructive Expectations of Normal Performance
29 Diurnal Patterns Are Instructive Expectations of Congested Performance
30 Diurnal Cycles In Practice Peak Hours, Peak Disruption
31 Not Limited to Throughput Latency Sensitive Applications Affected
32 Not Limited to One Transit Provider Level 3 and Verizon
33 Congestion is Continuing Congestion as of Q4 2014
34 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.
35 Become Involved Performance information collected from real users. Global perspective on performance. Comparative data across networks and time. Full raw data and open methodology. Little or no cost of entry. Proven platform and trusted data used by international regulators. Host an M-Lab Site
36 Internet Policy and Independent Network Performance Measurement Collin Anderson
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