Evolução do Comportamento do Usuário em Eventos de Larga Escala na Internet
Resumo
Tráfego de vı́deo já representa 75% do tráfego na Internet. Neste trabalho, nós caracterizamos a evolução do uso de um grande serviço de vídeo streaming no Brasil comparando registros de acesso da Copa do Mundo da FIFA de 2014 e 2018. Relatamos um crescimento de aproximadamente 176% no público médio e mais de 300% no tráfego gerado. A taxa de chegada também mudou e agora é mais concentrada no inı́cio das partidas. Comparamos também o impacto de métricas relacionadas a QoE no engajamento dos usuários. Por exemplo, notamos que o engajamento aumentou para todas as taxas de bitrate e que ele é maior quando ocorre menos adaptações de bitrate. Além disso, taxa alta de interrupções diminui o engajamento consideravelmente, mas somente até certo valor.
Palavras-chave:
Tráfego de vídeo, Streaming de vídeo, Qualidade de experiência (QoE)
Referências
Ahmed, A., Shafiq, Z., Bedi, H., and Khakpour, A. (2017). Suffering from buffering? detecting qoe impairments in live video streams. In 2017 IEEE 25th International Conference on Network Protocols (ICNP), pages 1–10. IEEE.
Ali-Eldin, A., Kihl, M., Tordsson, J., and Elmroth, E. (2015). Analysis and charac- terization of a video-on-demand service workload. In Proceedings of the 6th ACM Multimedia Systems Conference, pages 189–200. ACM.
Balachandran, A., Sekar, V., Akella, A., Seshan, S., Stoica, I., and Zhang, H. (2013). Developing a predictive model of quality of experience for internet video. In ACM SIGCOMM Computer Communication Review, volume 43, pages 339–350. ACM.
Dobrian, F., Sekar, V., Awan, A., Stoica, I., Joseph, D., Ganjam, A., Zhan, J., and Zhang, H. (2011). Understanding the impact of video quality on user engagement. In ACM SIGCOMM Computer Communication Review, volume 41, pages 362–373. ACM.
Guarnieri, T., Drago, I., Vieira, A. B., Cunha, I., and Almeida, J. (2017). Characterizing qoe in large-scale live streaming. In IEEE GLOBECOM, pages 1–7.
Hands, D. andWilkins, M. (1999). A study of the impact of network loss and burst size on video streaming quality and acceptability. In Int. Workshop on Interactive Distributed Multimedia Systems and Telecommunication Services, pages 45–57. Springer.
Mok, R. K., Chan, E. W., and Chang, R. K. (2011). Measuring the quality of experience of http video streaming. In Integrated Network Management, pages 485–492.
Nam, H., Kim, K.-H., and Schulzrinne, H. (2016). Qoe matters more than qos: Why people stop watching cat videos. In IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer Communications, pages 1–9. IEEE.
Open Connect (2011). Netflix open connect. https://openconnect.netflix. com/en/. Acessado em: 23/03/2019.
Santos, B., Carnivali, G., Almeida, W., Vieira, A. B., Cunha, Í., and Almeida, J. (2016). Caracterização do comportamento dos clientes de vı́deo ao vivo durante um evento de larga escala. In Simpósio Brasileiro de Redes de Computadores.
Schlinker, B., Kim, H., Cui, T., Katz-Bassett, E., Madhyastha, H. V., Cunha, I., Quinn, J., Hasan, S., Lapukhov, P., and Zeng, H. (2017). Engineering egress with edge fabric: Steering oceans of content to the world. In Proceedings ofthe Conference ofthe ACM Special Interest Group on Data Communication, pages 418–431. ACM.
Sripanidkulchai, K., Maggs, B., and Zhang, H. (2004). An analysis of live streaming workloads on the internet. In Proc. of the ACM SIGCOMM conference on Internet measurement, pages 41–54.
Veloso, E., Almeida, V., Meira, W., Bestavros, A., and Jin, S. (2002). A hierarchical characterization of a live streaming media workload. In Proceedings of the 2nd ACM SIGCOMMWorkshop on Internet measurment, pages 117–130. ACM.
Ali-Eldin, A., Kihl, M., Tordsson, J., and Elmroth, E. (2015). Analysis and charac- terization of a video-on-demand service workload. In Proceedings of the 6th ACM Multimedia Systems Conference, pages 189–200. ACM.
Balachandran, A., Sekar, V., Akella, A., Seshan, S., Stoica, I., and Zhang, H. (2013). Developing a predictive model of quality of experience for internet video. In ACM SIGCOMM Computer Communication Review, volume 43, pages 339–350. ACM.
Dobrian, F., Sekar, V., Awan, A., Stoica, I., Joseph, D., Ganjam, A., Zhan, J., and Zhang, H. (2011). Understanding the impact of video quality on user engagement. In ACM SIGCOMM Computer Communication Review, volume 41, pages 362–373. ACM.
Guarnieri, T., Drago, I., Vieira, A. B., Cunha, I., and Almeida, J. (2017). Characterizing qoe in large-scale live streaming. In IEEE GLOBECOM, pages 1–7.
Hands, D. andWilkins, M. (1999). A study of the impact of network loss and burst size on video streaming quality and acceptability. In Int. Workshop on Interactive Distributed Multimedia Systems and Telecommunication Services, pages 45–57. Springer.
Mok, R. K., Chan, E. W., and Chang, R. K. (2011). Measuring the quality of experience of http video streaming. In Integrated Network Management, pages 485–492.
Nam, H., Kim, K.-H., and Schulzrinne, H. (2016). Qoe matters more than qos: Why people stop watching cat videos. In IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer Communications, pages 1–9. IEEE.
Open Connect (2011). Netflix open connect. https://openconnect.netflix. com/en/. Acessado em: 23/03/2019.
Santos, B., Carnivali, G., Almeida, W., Vieira, A. B., Cunha, Í., and Almeida, J. (2016). Caracterização do comportamento dos clientes de vı́deo ao vivo durante um evento de larga escala. In Simpósio Brasileiro de Redes de Computadores.
Schlinker, B., Kim, H., Cui, T., Katz-Bassett, E., Madhyastha, H. V., Cunha, I., Quinn, J., Hasan, S., Lapukhov, P., and Zeng, H. (2017). Engineering egress with edge fabric: Steering oceans of content to the world. In Proceedings ofthe Conference ofthe ACM Special Interest Group on Data Communication, pages 418–431. ACM.
Sripanidkulchai, K., Maggs, B., and Zhang, H. (2004). An analysis of live streaming workloads on the internet. In Proc. of the ACM SIGCOMM conference on Internet measurement, pages 41–54.
Veloso, E., Almeida, V., Meira, W., Bestavros, A., and Jin, S. (2002). A hierarchical characterization of a live streaming media workload. In Proceedings of the 2nd ACM SIGCOMMWorkshop on Internet measurment, pages 117–130. ACM.
Publicado
08/07/2019
Como Citar
MACHADO, Breno; VIEIRA, Alex B.; CUNHA, Italo ; ZIVIANI, Artur .
Evolução do Comportamento do Usuário em Eventos de Larga Escala na Internet. In: WORKSHOP EM DESEMPENHO DE SISTEMAS COMPUTACIONAIS E DE COMUNICAÇÃO (WPERFORMANCE), 2019. , 2019, Belém.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
ISSN 2595-6167.
DOI: https://doi.org/10.5753/wperformance.2019.6469.
