Caracterização do Perfil de Tráfego de Aplicações Adaptativas de Fluxo Contínuo de Mídia sobre HTTP
Resumo
Atualmente, existe forte interesse na entrega da melhor Qualidade de Experiência possível ao usuário de serviços multimídia, principalmente conteúdo de vídeo. Neste artigo, realizou-se um estudo do perfil de tráfego de duas de suas aplicações mais populares, Netflix e Youtube. Os resultados mostraram baixa reação na vazão fim-a-fim das aplicações, quando submetidas a restrições de recursos de rede.
Referências
Adhikari, V.K., et al. "Unreeling netflix: Understanding and improving multi-CDN movie delivery", IEEE INFOCOM 2012.
Akhshabi, S. et al. (2011) "An experimental evaluation of rate-adaptation algorithms in adaptive streaming over HTTP", In: ACM MMSYS 2011
Antonello, R., et al. (2008) "Traffic analysis and synthetic models of second life", In: ACM/Elsevier Multimedia Systems Journal
Fernandes, S. et al. (2011) "An adaptive-predictive architecture for video streaming servers", In: Elsevier Journal of Network and Computer Applications
Ito, M. et al. (2014) "Network Level Characterization of Adaptive Streaming over HTTP Applications", In: IEEE ISCC 2014.
Martin, J. et al. (2013) "Characterizing Netflix bandwidth consumption", IEEE CCNC.
"Microsoft Smooth Streaming" [Online]. Available: http://www.iis.net/downloads/microsoft/smooth-streaming.
"Netem" [Online]. Available: http://www.linuxfoundation.org/collaborate/workgroups/networking/netem.
"Netflix" [Online]. Available: www.netflix.com.
"Open Source Media Framework" [Online]. Available: www.osmf.org.
Rao, A., et al. (2011) “Network characteristics of video streaming traffic”, ACM CoNEXT.
Sodagar, I. (2011) "The MPEG-DASH Standard for Multimedia Streaming Over the Internet", In: MultiMedia, IEEE, vol.18, no.4, pp.62,67.
Stockhammer, T. e Sodagar, I. (2011) "MPEG DASH: The Enabler Standard for Video Delivery
Over the Internet", In: SMPTE Motion Imaging Journal.
“TCPDump” [Online]. Available: http://www.tcpdump.org/.
"Wireshark" [Online]. Available: http://www.wireshark.org/.
Akhshabi, S. et al. (2011) "An experimental evaluation of rate-adaptation algorithms in adaptive streaming over HTTP", In: ACM MMSYS 2011
Antonello, R., et al. (2008) "Traffic analysis and synthetic models of second life", In: ACM/Elsevier Multimedia Systems Journal
Fernandes, S. et al. (2011) "An adaptive-predictive architecture for video streaming servers", In: Elsevier Journal of Network and Computer Applications
Ito, M. et al. (2014) "Network Level Characterization of Adaptive Streaming over HTTP Applications", In: IEEE ISCC 2014.
Martin, J. et al. (2013) "Characterizing Netflix bandwidth consumption", IEEE CCNC.
"Microsoft Smooth Streaming" [Online]. Available: http://www.iis.net/downloads/microsoft/smooth-streaming.
"Netem" [Online]. Available: http://www.linuxfoundation.org/collaborate/workgroups/networking/netem.
"Netflix" [Online]. Available: www.netflix.com.
"Open Source Media Framework" [Online]. Available: www.osmf.org.
Rao, A., et al. (2011) “Network characteristics of video streaming traffic”, ACM CoNEXT.
Sodagar, I. (2011) "The MPEG-DASH Standard for Multimedia Streaming Over the Internet", In: MultiMedia, IEEE, vol.18, no.4, pp.62,67.
Stockhammer, T. e Sodagar, I. (2011) "MPEG DASH: The Enabler Standard for Video Delivery
Over the Internet", In: SMPTE Motion Imaging Journal.
“TCPDump” [Online]. Available: http://www.tcpdump.org/.
"Wireshark" [Online]. Available: http://www.wireshark.org/.
Publicado
28/07/2014
Como Citar
ITO, Maria Silvia; ANTONELLO, Rafael; SADOK, Djamel; FERNANDES, Stênio.
Caracterização do Perfil de Tráfego de Aplicações Adaptativas de Fluxo Contínuo de Mídia sobre HTTP. In: WORKSHOP EM DESEMPENHO DE SISTEMAS COMPUTACIONAIS E DE COMUNICAÇÃO (WPERFORMANCE), 13. , 2014, Brasília.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2014
.
p. 188-192.
ISSN 2595-6167.
