LARGE-SCALE INTERNET MEASUREMENTS FOR DATA-DRIVEN PUBLIC POLICY Henning Schulzrinne (+ Walter Johnston & James Miller) FCC & Columbia University 1.

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LARGE-SCALE INTERNET MEASUREMENTS FOR DATA-DRIVEN PUBLIC POLICY Henning Schulzrinne (+ Walter Johnston & James Miller) FCC & Columbia University 1

Overview Why measure? Results of FCC MBA 2011 and 2012 The challenge of mobile measurements Baking measurements into the infrastructure 2

Why measure? Whole conferences on measurement often driven by lost-key method Long history of IETF measurement work RFC 2330: 1998 focused on specific metrics, not so much overall architecture Performance measurements don’t work well Individual consumers: not statistically reliable (geek-heavy) no ground truth data confounding factors (e.g., home networks) data generally not published  hard to compare metrics Service providers: limited infrastructure  hard to scale 3

FCC measurement history FCC has acquired and analyze data on legacy PSTN More recent and evolving broadband interest Section 706 of 1996 Telecommunications Act  annual report on availability of advanced telecommunications services to all Americans Resulted in information on deployment of broadband technology (“Form 477”) but not its performance FCC’s National Broadband Plan – March 2010 Proposed performance measurements of broadband services delivered to consumer households Work plan evolved from recommendations of National Broadband Plan 4

The role of network measurements 5 Measurement infrastructure ISP diagnostics “my Interwebs are just beach balls” User diagnostics & validation hard failures  soft failures Public policy BB evolution? Informed consumer choice Universal service

Principles The FCC Measuring Broadband America program is based on principles of openness, transparency and partnership with diverse stakeholders. We are committed to: Ensuring that commonly accepted principles of scientific research, good engineering practices, and transparency guide the program; Encouraging collaboration of industry, academia and government; Publishing the comprehensive technical methodology used to collect the data, including the source code for the tests as open source; Releasing data used to produce each report coincident with the report’s release, and releasing all data for each collection cycle within one year of collection. 6

Measurement architecture Lucid broadband Internet access provider (ISP) backbone ISP Measuring Broadband America 2011 & 2012 Measuring Broadband America future? 7

The MBA project - logistics Enlisted cooperation: 13 ISPs covering 86% of US population vendors, trade groups, universities and consumer groups Reached agreement reached on what to measure and how to measure it Enrolled roughly 9,000 consumers as participants 6,800 (7,782) active during March 2011 (April 2012) A total of 9,000 active over the data collection period 8

What was measured Sustained DownloadBurst Download Sustained UploadBurst Upload Web Browsing DownloadUDP Latency UDP Packet LossVideo Streaming Measure VoIP MeasureDNS Resolution DNS FailuresICMP Latency ICMP Packet LossLatency Under Load Total Bytes DownloadedTotal Bytes Uploaded 9

What was released Measuring Broadband America reports Main section describing conclusions and major results Technical appendix describing tests and survey methodology Spreadsheet providing standard statistical measures of all tests for all ISPs and speed tiers measured Report period data set with 4B data elements from over 100M tests Data set presented as used with anomalies removed Documentation provided on how data set was processed All data, as recorded Geocoded data on test points recently released Information available at broadband-americahttp:// broadband-america 10

2011: Most ISPs deliver close to advertised during peak hours 11

: You improve what you measure…

Web page downloading 13

The Internet is not a series of (fixed-width) tubes Some cable companies advertise burst speed Quota based technique providing temporary speed increase of < 15 seconds Also affected by other household activity Can’t be applied generally to DSL where sync rate often limiting factor Marginal value to fiber where each subscriber has potentially available 37 Mb/s to 75 Mb/s provisioned bandwidth  Links are no longer constant-size bit pipes Measured both burst and sustained speed 14

Broadband 2012 Deployment USF: Connect America Fund Performance Measuring Broadband America mobile project announced Significant progress: wider availability of 100 Mb/s fiber available to 46 million homes (FiOS, U-verse) community/non-traditional broadband (Chattanooga, Kansas City) LTE networks 15

Mobile performance Announced effort with 4 largest wireless providers Options available structured drive testing  expensive semi-formal drive testing  snapshot, limited coverage passive measurements  privacy concerns, limited sampling  Smartphone app + volunteers + existing infrastructure Challenges: how to capture variation in time, space and device? how to ensure location privacy? impact of bandwidth usage for metered & capped plans? 16

What can’t we measure? Small providers may be more infrastructure- & engineering-challenged Anchor institutions Network reliability large-scale outages gathered by “Part 4” outage reporting, but not public small-scale outages? Network features Who has access to DNSsec? IPv6? Which ports are being blocked? Which country has the cheapest broadband? And why? What drives consumer adoption of higher speeds & new applications? Speed  applications OR applications  speed? Why does 1/3 of US not use the Internet? Relative importance of availability, affordability, relevance? 17

LMAP proposed architecture HostTier 2001:db8::110/2 2001:db8::225/5 measurement clients measurement server network parameter server measurement controller data collector e.g., UDP echo What is my tier? Start metrics 17 & 42! measurement samples measurement samples 18

Conclusion Measurements: from sometime experiment and LAN to built-in capability Good telecom policy needs good data not just counting lines PSTN transition to IP  there is no second network Re-use measurement for three purposes: ISP diagnostics and planning Consumer diagnostics Public policy data gathering Dear IETF: We need your help! 19

BACKUP 20

FCC Independent federal agency About 1,600 employees 21 Chairman (D) Consumer and Governmental Affairs Enforcement InternationalMedia Public Safety & Homeland Security Wireless Telecommunications Wireline Competition 4 Commissioners (2 D, 2 R)

Process NOI Notice of Inquiry NPRM Notice of Proposed Rule Making R&O Report & Order comments & ex parte 22

Performance varies ISPs seem to impose network wide performance standards However, there can be exceptions by speed tier 23

2011: some don’t 24

Burst speed increase Most impact of burst speed seen between 6 and 12 Mb/s Note: This chart not in report and shows calculated difference between burst and sustained performance 25

26 Latency by technology

27 Data usage

Reliability Packet loss rate < 1% Correlation between peak periods and packet loss Higher loss during peak hours Most companies during peak experience <.4% packet loss Worst case seen during March:.8% Data from other periods may have numbers in excess of 1% (Georgia Tech) 1% packet loss often cited as video threshold 28

Web page downloading: Canary in the Coal Mine? Performance seems to top out after 10 Mb/s Many possible explanations Latency, TCP issues, server loading, household platform limitations, … However, discussions with Georgia Tech indicate that they have seen similar performance issues Discussion with Ofcom and others suggest that globally, full benefits of higher line rates not being realized Higher ISP speed may challenge industry to examine performance bottlenecks More data needed 29

30 International comparison: fixed 3 rd International Broadband Data Report (IBDR), August 2012

31 International comparison: mobile 3 rd International Broadband Data Report (IBDR), August 2012

2012 Upload speeds 32

2012 peak period actual vs. advertised 33

Advertised vs. actual 34

Burst download vs. sustained download 35

Web page loading time 36

Cumulative distribution of download speeds 37

CDF of sustained download speed 38

Throughput predictability 39

Actual download speeds: 2011 vs

41