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WebRTC – Challenges and Best Practices

WebRTC – Challenges and Best Practices. Sumit Amar Director of Engineering Electronic Arts. Agenda. Brief Introduction to Web RTC WebRTC Challenges and Support Matrix Best practices Future WebRTC ideas Q/A. WebRTC Introduction. Plugin-free RTC communication via browser

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WebRTC – Challenges and Best Practices

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  1. WebRTC – Challenges and Best Practices Sumit AmarDirector of Engineering Electronic Arts

  2. Agenda • Brief Introduction to Web RTC • WebRTC Challenges and Support Matrix • Best practices • Future WebRTC ideas • Q/A

  3. WebRTC Introduction • Plugin-free RTC communication via browser • Audio, Video, and Data • P2P channeling aided by a signaling server • Encoding and decoding of media streams • Allows bypassing of interceptors (SBC) • Only supported in a handful of browsers

  4. WebRTC Introduction • WebRTC is being designed by: • IETF (for overall WebRTC design, Media plane, and security framework) • W3C (HTML5/JavaScript APIs) • 3GPP (to integrate WebRTC into IP Management Subsystem) to interoperate with Telecom infrastructure

  5. WebRTC Introduction Loreto, S.; Romano, Simon Pietro, "Real-Time Communications in the Web: Issues, Achievements, and Ongoing Standardization Efforts,“Internet Computing, IEEE , vol.16, no.5, pp.68,73, Sept.-Oct. 2012

  6. WebRTC Introduction

  7. Key API components • MediaStream • Stream representing audio or video • PeerConnection • Direct peer to peer connection to exchange data • DataChannel • API to exchange data from peer to peer

  8. Challenges • Browser support • Telecommunication Infrastructure vs WebRTC • Performance and congestion control • Security • End to end RTC feature support • Competing school of thoughts

  9. Browser Support Source: http://iswebrtcreadyyet.com/

  10. Telecom Infrastructure vs WebRTC TelecomAMR, AMR-WB H.264 SBCs SRTP/SDES Managed • Media plane • Audio Codecs: • Video Codecs: • Relay • Encryption • Quality WebRTC G.711, OPUS VP8 Not required DTLS/RTP Adaptive

  11. Telecom Infrastructure vs WebRTC • Signaling plane • Codec negotiation with SDP (Session Description Protocol) aka Offer/Response • Sender, Receiver, and Transport with ‘Tracks’ and ‘data channels’ in case of ORTC (Object RTC)

  12. Performance and Congestion Control Mesh vs Star topologies for communication Mesh • Increases load on the client machines, and network • May not scale for more than 4-5 users

  13. Performance and Congestion Control Star (aka MCU / Media Router): • Reduced CPU load on client machines, but increased load on the server and network • Scalable solution, router servers can be scaled out • Might be a regulatory requirement • Addresses firewall/NAT issues in one place

  14. Performance and Congestion Control • Congestion in mobile networks: • VideoAdapter can reduce encoding resolution if the CPU is overloaded • Remote Bitrate Estimator notified the other party to reduce bitrate if decoder is slower to react • Problems: • VideoAdapter is reactive than proactive • Encoder and Decoder are both CPU intensive • Have to modify SDP ‘blob’ to update the bitrate

  15. Security Considerations • Direct browser-to-browser P2P connections are susceptible are protected by the realm of sandbox (browser) • Signaling handshake without SSL could be susceptible to several attacks • Interoperability with IMS (IP Multimedia System) could be challenged by SIP security requirements

  16. End to end feature support • RTC features not supported by WebRTC • Push notifications • Address / ‘number’ blocking • Background processing (requires connected socket for message passing) • Access to contacts list etc. • Access to device information (CPU, Network) • Additive RTC features not supported by ORTC • DataChannel for communicating P2P data

  17. Competing school of thoughts(CU-RTC-Web, and now ORTC)

  18. Best practices • Bitrate encoding: • Log captured network speed, and build prediction model on it to automatically adjust bitrate • Use a native shim to get access to network and CPU speed • Mesh vs Star • Use star for multiple user conferencing scenarios • Use mesh for data channel based scenarios

  19. Best practices • Determine CPU speed in web application • By running stress tests on the client machine. • Use a single method CPU intensive task • Use UI thread to do intensive DOM manipulations and run a few web workers for CPU intensive tasks in the background • Calculate CPU clock speed and the number of processors • Determine network throughput • By making synchronized XHR calls in test environment to various network endpoints and measuring time taken for turns • By POSTing large amounts of data to determine speed

  20. WebRTC – future ideas • Peer to peer CDN (content delivery network) Image source: http://inet.cpt.haw-hamburg.de/papers/vws-lwpcd-13.pdf

  21. Resources • Questions/Suggestions – sumit@amar.co.in • Slides at – http://www.amar.co.in/ppt/devcon5webrtc.pptx

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