T8 VoIP References for traffic models 11-13/486, video traffic modeling” Guoqing Li et al, (Intel) [1] “HEW [2] 11-13-1059-01-hew-video-performance-requirements-and-simulation-parameters [3]11-09-0296-16-00ad-evaluation-methodology.doc [4] Rongduo Liu et al., Emperical Traffic Model of M2M Mobile Streaming “An Services International conference C on Multimedia information networking and ”, security, 2012 [5] JO. Rose, Statistical properties of MPEG video traffic and their impact on “ traffic modeling in ATM systems Tech report, Institute of CS in University of ”, Wurzburg [6] Savery Tanwir., survey of VBR traffic models”, IEEE communication “A surveys and tutorials, Jan 2013 [7] Aggelos Lazaris et al., new model for video traffic originating from “A multiplexed MPEG-4 videoconferencing streams”, International journal on performance evaluation, 2007 [8] A. Golaup et al., of MPEG4 traffic at GOP level using autoregressive “Modeling process”, IEEE VTC, 2002 [9] K. Park et al., network traffic and performance evaluation”, John “Self-Similar 2000 [10] M Dai et al., unified traffic model for MPEG-4 and H.264 video traces”, “A IEEE Trans. on multimedia, issue 5 2009. [11] L Rezo-Domninggues et al., in IP network: A cauchy approach”, IEEE “Jitter Comm. Letter, Feb 2010 [12] Hongli Zhang et al., Internet link delay based on measurement”, “Modeling International conference on electronic computer technology, 2009. Annex 3 - Templates Parameter Value Topology Figures Environment description APs location AP Type
T8 VoIP References for traffic models 11-13/486, “HEW video traffic modeling” Guoqing Li et al, (Intel) [1] [2] 11-13-1059-01-hew-video-performance-requirements-and-simulation-parameters [3]11-09-0296-16-00ad-evaluation-methodology.doc [4] Rongduo Liu et al., “An Emperical Traffic Model of M2M Mobile Streaming Services ”, International conference C on Multimedia information networking and security, 2012 [5] JO. Rose, “ Statistical properties of MPEG video traffic and their impact on traffic modeling in ATM systems ”, Tech report, Institute of CS in University of Wurzburg [6] Savery Tanwir., “A survey of VBR traffic models”, IEEE communication surveys and tutorials, Jan 2013 [7] Aggelos Lazaris et al., “A new model for video traffic originating from multiplexed MPEG-4 videoconferencing streams”, International journal on performance evaluation, 2007 [8] A. Golaup et al., “Modeling of MPEG4 traffic at GOP level using autoregressive process”, IEEE VTC, 2002 [9] K. Park et al., “Self-Similar network traffic and performance evaluation”, John 2000 [10] M Dai et al., “A unified traffic model for MPEG-4 and H.264 video traces”, IEEE Trans. on multimedia, issue 5 2009. [11] L Rezo-Domninggues et al., “Jitter in IP network: A cauchy approach”, IEEE Comm. Letter, Feb 2010 [12] Hongli Zhang et al., “Modeling Internet link delay based on measurement”, International conference on electronic computer technology, 2009. Annex 3 - Templates Parameter Value Topology Figures Environment description APs location AP Type
11-14-0980-05-00ax-simulation-scenarios.docx