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Global Internet Interconnection Conference Walter Johnston Chief, EMCD Office of Engineering &Technology FCC The Views Express Herein Are Those of the Author and Do not Necessarily Reflect Those of the FCC
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Broadband and the Internet empowering our society ◦ Productivity Gains ◦ Enhanced communications ◦ Entertainment ◦ Public Safety ◦ Connected Government Important to measure availability and quality of broadband ◦ Availability ◦ Performance ◦ Year by Year Trends Open Internet Order established transparency requirements for Broadband Internet Access Providers (BIAS)
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2010 – FCC issued National Broadband Plan ◦ Established goal to obtain Internet performance data to support policy development 2010 – initiated program to provide most accurate data on fixed broadband to the home ◦ Cooperation of major ISPs supporting 85% of consumers 13 – 15 ISPs in program; remaining 3000 ISPs support 15% of population 2014 – initiated coverage of mobile broadband performance ◦ Crowd sourcing approach ◦ Data collected includes performance data, cell tower/service coverage data, and phone data
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Instrumented ~6000 consumer homes in U.S. Annual report ◦ Continually collect data from these homes Speeds, latency, loss ◦ Baseline data for report collected Sept/Oct annually ◦ All collected data available on website Research initiatives supported when feasible ◦ WTF – Georgia Tech ◦ Latency data provided to CAIDA ◦ CGN studies, congestion studies under consideration ◦ Consumer nodes can be limiting factor Limits/Opportunities established by WTF Recently finding 100 Mb/s rates and higher rates challenging measurement platforms ◦ Hope to test 1Gb/s services this year (Beta) Interest in shaping program to better support research
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Over first 3 years, ISP services improved ◦ Ration of delivered/advertised increased ◦ Spread between best/worst diminished Provided better understanding within Commission regarding functioning/operating of the Internet ◦ Supplements additional information sources Provides enduring baseline data for Commission ◦ Information integrated into other FCC programs
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Started analyzing service consistency ◦ Streaming services changing landscape ◦ QOS Performance over time Video streaming performance ◦ Service characterization: Netflix, Hulu, YouTube ◦ Maximum achievable streaming capability Interconnection points ◦ Supporting research using latency to characterize congestion ◦ Hope to expand data program focused on Interconnect FCC Technological Advisory Council ◦ Recommended in 2015 expansion of program ◦ What network points to capture ◦ Where to evolve ◦ How to obtain data
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Crowd sourced data collected from volunteers’ phones ◦ Open methodology developed with industry collaboration Clients available on GitHub as open source for inspection ◦ No PII data collected, no ads, no commercial intent We have spent two years verifying validity of data and examining how best to present
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Android ◦ Released in mid-November 2013 ◦ Available at Google Play: FCC Speed Test iPhone ◦ Released February 2014 ◦ Available to public at iPhone App Store: FCC Speed Test For a very short time we were 4 th most popular app in the store Android phones provide 4x data as iPhones due to automatic scheduling of tests Favorite comment ◦ “Very useful app and surprisingly not ugly”
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Event oriented; News article or blog post last about 10 days Evolving outreach program to keep reinforcing program and apps We have been silent on this app for two years due to industry concerns ◦ However – last two competitive wireless reports included MBA data ◦ Will seek to spotlight program in 2016
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Extensive analysis of data with comparison to other data sets ◦ e.g. Ookla, RootMetrics At sufficient levels of aggregation ◦ Data meets statistical validity criteria ◦ All data sets in general agreement At sufficient levels of disaggregation, weaknesses in all methodologies become apparent ◦ Crowd sourcing and drive testing both dependent upon limited sample sets at high area resolutions
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Huge datasets when aggregated Sparse datasets when data disaggregated ◦ Drive testing: specific locations measured twice a year ◦ Crowd sourcing: a few consumers as proxy for all Street level measurements mean what to average consumer? No ‘average consumer’ at high resolution How to present data challenging problem
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Mobile competitive environment is fierce Government comment on performance perceived as threatening ◦ Many service providers advertise ‘best network’ Vigorous push-back from some participants Lengthy process to establish validity of data ◦ But also a recognition that fairly presenting mobile information to the public is difficult ◦ Mapping turned out to be a problematic approach
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Privacy aspects of Internet data a growing concern ◦ NTIA/FTC have led industry discussions Privacy discussions still in early stage Many Company's T&Cs seek to protect the company, not the consumer FCC collection of data Privacy policies developed with outside experts, wireless carriers, FTC and FCC ◦ Goal to protect consumer ◦ Seek only necessary data supporting understanding of broadband services and broadband network Committed to open data release subject to 3 rd party review for privacy compliance
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Handset data fully anonymized ◦ Led to changes in initial design strategies ◦ Privacy analysis of data with outside parties ◦ Further obfuscation of data when required for public release Thresholds, aggregation of some parameters Expect to begin releasing data in 2016 Other agencies and organizations collecting mobile data ◦ Use of such data may be entangled with privacy concerns and sharing may be difficult Goal to start a discussion on common privacy policies for collection of mobile data ◦ Non-aligned and sometimes conflicting interests in privacy objectives: consumer protection, industry market info, national security
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Began serendipitously -initially focused on producing a snapshot of broadband performance Evolving towards ◦ Baseline studies ◦ Incorporation of addition critical measurements/network nodes Increasingly aligning program to support Open Internet goals Remain open for guidance on how best to evolve
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Walter.johnston@fcc.gov
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