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Motivation Measuring Decentralized Video Streaming: Background Methodology A Case Study of DTube Analysis Conclusions Trinh Viet Doan, Tat Dat Pham, Markus Oberprieler, Vaibhav Bajpai Technical University of Munich (TUM) IFIP Networking,


  1. Motivation Measuring Decentralized Video Streaming: Background Methodology A Case Study of DTube Analysis Conclusions Trinh Viet Doan, Tat Dat Pham, Markus Oberprieler, Vaibhav Bajpai Technical University of Munich (TUM) IFIP Networking, June 22–25, 2020 1 / 20

  2. Motivation Background Methodology Analysis Conclusions Motivation 2 / 20

  3. Motivation Motivation Background ◮ Increasing concerns about consolidation in the Internet [1, 2, 3] Methodology Analysis Conclusions 3 / 20

  4. Motivation Motivation Background ◮ Increasing concerns about consolidation in the Internet [1, 2, 3] Methodology Analysis ◮ Most Internet traffic: video streaming, mostly from centralized services Conclusions ◮ YouTube 8.7%, Netflix 12.6% of all global downstream traffic as of 2019 [4] 3 / 20

  5. Motivation Motivation Background ◮ Increasing concerns about consolidation in the Internet [1, 2, 3] Methodology Analysis ◮ Most Internet traffic: video streaming, mostly from centralized services Conclusions ◮ YouTube 8.7%, Netflix 12.6% of all global downstream traffic as of 2019 [4] ◮ Proposals of decentralized solutions to counteract centralization 3 / 20

  6. Motivation Motivation Background ◮ Increasing concerns about consolidation in the Internet [1, 2, 3] Methodology Analysis ◮ Most Internet traffic: video streaming, mostly from centralized services Conclusions ◮ YouTube 8.7%, Netflix 12.6% of all global downstream traffic as of 2019 [4] ◮ Proposals of decentralized solutions to counteract centralization ◮ Decentralized video streaming: ◮ In the past: P2P video streaming around 2010 ◮ More recently: DTube (2017), PeerTube (2018), LBRY.tv (2020), ... 3 / 20

  7. Motivation Motivation Background ◮ Increasing concerns about consolidation in the Internet [1, 2, 3] Methodology Analysis ◮ Most Internet traffic: video streaming, mostly from centralized services Conclusions ◮ YouTube 8.7%, Netflix 12.6% of all global downstream traffic as of 2019 [4] ◮ Proposals of decentralized solutions to counteract centralization ◮ Decentralized video streaming: ◮ In the past: P2P video streaming around 2010 ◮ More recently: DTube (2017), PeerTube (2018), LBRY.tv (2020), ... ⇒ Comparing video streaming from centralized and decentralized services using YouTube and DTube 3 / 20

  8. Motivation Background Methodology Analysis Conclusions Background 4 / 20

  9. Background: DTube Motivation Background Methodology ◮ Decentralized video streaming service Analysis Conclusions 5 / 20

  10. Background: DTube Motivation Background Methodology ◮ Decentralized video streaming service Analysis ◮ Leverages variety of decentralized technologies Conclusions 5 / 20

  11. Background: DTube Motivation Background Methodology ◮ Decentralized video streaming service Analysis ◮ Leverages variety of decentralized technologies Conclusions ◮ Interplanetary File System (IPFS) for video storage ◮ Decentralized P2P network for storage and delivery of files ◮ IPFS gateway to access IPFS content over HTTP 5 / 20

  12. Background: DTube Motivation Background Methodology ◮ Decentralized video streaming service Analysis ◮ Leverages variety of decentralized technologies Conclusions ◮ Interplanetary File System (IPFS) for video storage ◮ Decentralized P2P network for storage and delivery of files ◮ IPFS gateway to access IPFS content over HTTP ◮ Steem blockchain ecosystem for user- and metadata management ◮ Token rewards to incentivize content contribution 5 / 20

  13. Background: DTube Motivation Background Methodology ◮ Decentralized video streaming service Analysis ◮ Leverages variety of decentralized technologies Conclusions ◮ Interplanetary File System (IPFS) for video storage ◮ Decentralized P2P network for storage and delivery of files ◮ IPFS gateway to access IPFS content over HTTP ◮ Steem blockchain ecosystem for user- and metadata management ◮ Token rewards to incentivize content contribution ◮ Parallels to YouTube in terms of user-interaction features, user interface, monetary incentives 5 / 20

  14. Background: DTube Motivation Background ◮ Decentralized video streaming service Methodology Analysis ◮ Leverages variety of decentralized technologies Conclusions ◮ Interplanetary File System (IPFS) for video storage ◮ Decentralized P2P network for storage and delivery of files ◮ IPFS gateway to access IPFS content over HTTP ◮ Steem blockchain ecosystem for user- and metadata management ◮ Token rewards to incentivize content contribution ◮ Parallels to YouTube in terms of user-interaction features, user interface, monetary incentives Note: Several additions/changes to DTube’s design since beginning of study in early 2019 5 / 20

  15. Motivation Background Methodology Analysis Conclusions Methodology 6 / 20

  16. Methodology Motivation Background Methodology Analysis Conclusions ◮ Development of (open-source) Android application to measure video streaming 7 / 20

  17. Methodology Motivation Background Methodology Analysis Conclusions ◮ Development of (open-source) Android application to measure video streaming ◮ Measure both YouTube and DTube with the same framework/logic ◮ From user perspective ◮ Possibility to add other services in the future 7 / 20

  18. Methodology Motivation Background Methodology Analysis Conclusions ◮ Development of (open-source) Android application to measure video streaming ◮ Measure both YouTube and DTube with the same framework/logic ◮ From user perspective ◮ Possibility to add other services in the future ◮ Playout of videos using ExoPlayer 7 / 20

  19. Methodology Motivation Background Methodology Analysis Conclusions ◮ Development of (open-source) Android application to measure video streaming ◮ Measure both YouTube and DTube with the same framework/logic ◮ From user perspective ◮ Possibility to add other services in the future ◮ Playout of videos using ExoPlayer 7 / 20

  20. Methodology Measurement Process Motivation Background Methodology Analysis Conclusions 8 / 20

  21. Methodology Measurement Process Motivation Background Methodology 1. Acquire Web page URLs for n videos from “trending” list of each platform Analysis Conclusions 8 / 20

  22. Methodology Measurement Process Motivation Background Methodology 1. Acquire Web page URLs for n videos from “trending” list of each platform Analysis 2. Navigate to Web pages, determine source URLs of videos Conclusions ◮ Video resolution: 480p ◮ Different source URL determination based on video service 8 / 20

  23. Methodology Measurement Process Motivation Background Methodology 1. Acquire Web page URLs for n videos from “trending” list of each platform Analysis 2. Navigate to Web pages, determine source URLs of videos Conclusions ◮ Video resolution: 480p ◮ Different source URL determination based on video service 3. For each video: 3.1 connect() to determined media server (i.e., YouTube media server or DTube IPFS gateway) 3.2 Pass source URL to ExoPlayer for streaming/playout 3.3 Play video for one minute 8 / 20

  24. Methodology Measurement Process Motivation Background Methodology 1. Acquire Web page URLs for n videos from “trending” list of each platform Analysis 2. Navigate to Web pages, determine source URLs of videos Conclusions ◮ Video resolution: 480p ◮ Different source URL determination based on video service 3. For each video: 3.1 connect() to determined media server (i.e., YouTube media server or DTube IPFS gateway) 3.2 Pass source URL to ExoPlayer for streaming/playout 3.3 Play video for one minute 4. ICMP traceroute measurements to determined media servers 5. Save and upload all measurements, schedule next iteration 8 / 20

  25. Methodology Measurement Metrics Motivation Background Methodology Analysis Conclusions 9 / 20

  26. Methodology Measurement Metrics Motivation Background Methodology Analysis Conclusions ◮ Total video duration ◮ TCP connect time to media server ◮ Startup delay ◮ traceroute : IP path length 9 / 20

  27. Methodology Measurement Experiment Motivation Background Methodology Analysis Conclusions 10 / 20

  28. Methodology Measurement Experiment Motivation Background Methodology Analysis ◮ February 2019–November 2019 (10 months) Conclusions ◮ >8,500 videos measured from both platforms combined ◮ Over both cellular (LTE) and WiFi (University network) ◮ Four mobile phones ◮ Three locations: Munich (DE), Prague (CZ), San Diego (US) ◮ Four SIM card providers: T-Mobile (DE), Vodafone (DE), o2 (DE), SIMPLE Mobile (US) 10 / 20

  29. Motivation Background Methodology Analysis Analysis Conclusions 11 / 20

  30. Motivation Background Methodology Analysis Analysis Conclusions ◮ How does decentralized video streaming compare with centralized services in terms of performance? ◮ How distributed are such decentralized services? ◮ In which areas can decentralized video streaming be improved? 11 / 20

  31. 1.0 DTube YouTube 0.8 0.6 CDF 0.4 0.2 0.0 0 250 500 750 1000 1250 1500 1750 2000 Content Duration [s] Content Duration Motivation Background Methodology Analysis Conclusions 12 / 20

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