Router Virtualization as an Enabler for Future Internet Multimedia Applications

Transcription

1 Router Virtualization as an Enabler for Future Internet Multimedia Applications httc Hessian Telemedia Technology Competence-Center e.v - Osama Abboud, M.Sc Prof. Dr. Ing Ralf Steinmetz Vorname.Nachname@KOM.tu-darmstadt.de Tel KOM - Multimedia Communications Lab Prof. Dr.-Ing. Ralf Steinmetz (Director) Dept. of Electrical Engineering and Information Technology Dept. of Computer Science (adjunct Professor) TUD Technische Universität Darmstadt Rundeturmstr. 10, D Darmstadt, Germany Tel , Fax Future_Internet_Hannover ppt 2010 author(s) of these slides including research results from the KOM research network and TU Darmstadt. Otherwise it is specified at the respective slide 23. November 2010

2 Motivation Evolution of the Internet Multimedia apps getting more popular Cisco VNI predicts in 2014: Video will be 70% of all Internet traffic More powerful devices with increasing connection speeds High definition and 3D content More load on central instances Routers, backbones, servers Media-oriented networks will become necessary Source: Cisco Visual Networking Index Forecast 2010 KOM Multimedia Communications Lab 2

3 Outline Motivation Future Multimedia Systems System Overview Scalable Video Coding Media-aware Networking Router Virtualization Data Prioritizing Evaluation Scenario Results Conclusion KOM Multimedia Communications Lab 3

4 Streaming System - Overview Peer-assisted architecture Hybrid server/p2p solution Tracker with contact information of the peers Video streaming Uses the H.264 Scalable Video Coding (SVC) Video divided into many parts (chunks) Each chunk consists of multiple video blocks More blocks are requested to get higher quality Osama Abboud et al : Quality Adaptive Peer-to-Peer Streaming using Scalable Video Coding In the Proceedings of the 12th IFIP/IEEE MMNS09 Conference KOM Multimedia Communications Lab 4

5 Scalable Video Coding Video file encoded only once but with different quality levels Different quality can be requested independently Scalability in 3 dimensions Temporal: Frames per second Spatial: Resolution of the picture Quality: Quantization levels, sharpness Enables quality adaptation Received quality level adjustable according to Device and connection properties (e.g. resources, screen size, bandwidth) Network status (congestions, system capacity, availability of required quality blocks, ) KOM Multimedia Communications Lab 5

6 Quality Adaptation Osama Abboud et al : Quality Adaptive Peer-to-Peer Streaming using Scalable Video Coding In the Proceedings of the 12th IFIP/IEEE MMNS09 Conference KOM Multimedia Communications Lab 6

7 Why do we need Media Awareness? Media-aware Intelligence Media-aware Intelligence KOM Multimedia Communications Lab 7

8 Outline Motivation Future Multimedia Systems System Overview Scalable Video Coding Media-aware Networking Router Virtualization Data Prioritizing Evaluation Scenario Results Conclusion KOM Multimedia Communications Lab 8

9 Media-aware Multimedia Networks Router Virtualization Media awareness can be introduced using router virtualization Why router virtualization? Quality of service at the application level (optimize (QoE) ) Efficient and custom-made QoS solutions (e.g. live and on-demand streaming) Enables the gradual development of media aware solutions Efficient architectures being developed: e.g. Using OpenFlow Why not classical QoS management solutions, e.g. DiffServ? QoS controlled by the network provider not the content provider Heterogeneous QoS algorithms across networks make traffic handling complex How? During bottlenecks, the virtual router prioritizes and controls block transfers Block priority calculated based on various important QoS/QoE metrics KOM Multimedia Communications Lab 9

10 SVC Video Block Prioritization (1) Temporal aspect reflecting the real time properties of streaming How soon is the block needed? Video block near the playback positions are more important The least need block is the first to be slowed down upon congestions KOM Multimedia Communications Lab 10

11 Spatial Resolution (D) SVC Video Block Prioritization (2) Quality aspect reflecting the interdependencies between the layers How many block depend on a certain block? E.g. Base layer: all blocks depend on it The more a block is needed by lower layer, the more priority it gets Tier 3 Tier 3 Tier 3 Tier 3 Tier 3 Tier 3 Tier 2 Tier 1 Tier 1 Tier 2 Tier 2 Base Tier (0) Tier 1 Tier 2 Temporal Resolution (T) KOM Multimedia Communications Lab 11

12 Media Aware Networking - Virtual Router Intelligence The priority of a block calculated by the virtual router is P = t * T + q * Q t: weight of temporal aspect q: weight for quality aspect T: block temporal priority Q: block quality priority KOM Multimedia Communications Lab 12

13 Simulation Setup Typical peer-assisted video-on-demand system 100 Peers with 8 seeders (2 per subnetwork) SVC video with 8 layers Scenario 1 10 minute bandwidth bottleneck of the virtual router (3000 kbps) Router configuration T100, T70/Q30, T50/Q50, T30/Q70, Q100 Compared to a media agnostic router (random packet drop) Scenario 2: 10 minute bandwidth bottleneck of the virtual router (3000 & 4000 kbps) Different quality adaptation intervals: 5, 10, 20, 30, 45 seconds Router configuration T100 compared to media agnostic router (random packet drop) KOM Multimedia Communications Lab 13

14 Evaluation Metrics Perceived Quality of Service Session Quality Startup time and number and duration of playback stalls The shorter and fewer are the stalls, the better is the session quality Video Quality Number of quality changers Constant received level Better user experience Received quality level (compared to the maximal level) Higher quality level Better user experience KOM Multimedia Communications Lab 14

15 Simulation Results Scenario 1 Session Quality 45% smoother playback during bottelnecks KOM Multimedia Communications Lab 15

16 Simulation Results Scenario 1 Video Quality 20% less quality swtiches during bottelnecks KOM Multimedia Communications Lab 16

17 Simulation Results Scenario 2 Session Quality Video Quality More predictable impact of quality adaptation KOM Multimedia Communications Lab 17

18 Conclusion Media-awareness achieves better perceived QoS without any additional traffic costs Evolution of internet applications Media-aware networking will become a must to better handle the enormous amount of video traffic. Future Work Integrate the algorithms into a real virtual router Perform prototpye evaluation Develop more sophisticated prioritization algorithms Build more advanced control and management mechanisms Security issues when reporting high priority for many blocks. KOM Multimedia Communications Lab 18

19 Thank you for your attention KOM Multimedia Communications Lab 19