Publicado

2017-07-01

Traffic modelling of the video-on-demand service through NS-3

Modelado de tráfico del servicio de video bajo demanda mediante NS-3

Palabras clave:

Network performance, NS-3, simulation, traffic model, video service (en)
Desempeño de red, NS-3, simulación, modelo de tráfico, servicio de video (es)

Autores/as

The principal characteristic of the video on demand service through video streaming technology is the consumption of large bandwidths, which is why network planners must consider the service when dimensioning said networks. To achieve this goal, one of the tools is traffic engineering and its associated models. Thus, this article presents a traffic model based on simulation through discrete events and developed through the open code software and of research on networks, denominated ns-3. This work describes the abstractions of network elements and the construction process of different evaluation scenarios, independent of the characteristics of the service sought to be analyzed, and the collection and graphic visualization de statistics. Finally, the work presents the analyses of the performance parameters that permit obtaining the minimum network characteristics to support the service.
La principal característica del servicio de video bajo demanda a través de la tecnología de video streaming es el consumo de grandes anchos de banda, por lo que los planificadores de redes deben considerar este servicio en el momento de dimensionar dichas redes. Para alcanzar esta meta, una de las herramientas es la ingeniería de tráfico y sus modelos asociados. Así, este artículo presenta un modelo de tráfico basado en la simulación por eventos discretos y desarrollado a través del software de código abierto y de investigación en redes, denominado ns-3. Se describen las abstracciones de los elementos de red, y el proceso de construcción de diferentes escenarios de evaluación, independiente de las características del servicio que se desee analizar, y la recolección y visualización gráfica de estadísticas. Finalmente se presentan los análisis de los parámetros de desempeño que permiten obtener las características mínimas de red para soportar el servicio.

Descargas

Los datos de descargas todavía no están disponibles.

Citas

Savannah, B. and Osborne. Your video streaming guide [On line], 2011 [consulted, 11th July 2016]. Available at: https://store.kobobooks.com/en-us/ebook/your-video-streaming-guide.

Cisco. White paper: Cisco VNI forecast and methodology 2015-2020. San Jose CA [Online]. 2016. [consulted, 11th July 2016]. Available at: http://www.cisco.com/c/dam/en/us/solutions/collateral/service-provider/visual-networking-index-vni/complete-white-paper-c11-481360.pdf.

Iversen, V.B., Teletraffic engineering and network planning, COM DTU [online], 2015. [consulted, 12th July 2016] Available at http://orbit.dtu.dk/files/118473571/Teletraffic_34342_V_B_Iversen_2015.pdf

Yin, P., Criminisi, A., Winn, J. and Essa, I.A., Bilayer segmentation of webcam videos using tree-based classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence, [Online], 33(1), pp. 30-42. 2011. [consulted, November 17th of 2016]. Available at: http://ieeexplore.ieee.org/document/5432210/ DOI:10.1109/TPAMI.2010.65.

Inostrosa-Psijas, A., Gil-Costa, V., Solar, R. and Marín, M., Load balance strategies for DEVS approximated parallel and distributed discrete-event simulations, [Online]. 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, pp. 337-340, 2015. [consulted, 17th November 2016] Available at: http://ieeexplore.ieee.org/document/7092741/ DOI: 10.1109/PDP.2015.13.

Chistyakov, A., A software architecture for large multi-simulation Experiments over ad hoc networks using NS-3 discrete-event network simulator. European Modelling Symposium (EMS), 2014. pp. 403-408. DOI: 10.1109/EMS.2014.71.

Riley, G.F. and Henderson, T.R., The ns-3 network simulator. modeling and tools for network simulation, in: Wehrle, K., Güneş, M. and Gross, J., Eds., Springer Berlin Heidelberg, Berlin,[online]. 2010, pp. 15-34, [consulted, 2 October 2016]. Available at https://link.springer.com/book/10.1007%2F978-3-642-12331-3 DOI: 10.1007/978-3-642-12331-3.

Campo, W., Modelo de tráfico para servicios interactivos de una comunidad académica virtual, con contenidos de audio y video de alta calidad, Tesis Dr., Departamento de Ingeniería Telemática, Universidad del Cauca, Popayán, Colombia, [online]. 2014. Available at: https://drive.google.com/file/d/0Bw_sZ3xa3yAsOFp2bn F5ZUs3TWc/view

Solomon, T., Zungeru, A.M. and Selvaraj, R., Network traffic monitoring in an industrial environment. Third International Conference on Electrical, Electronics, International Conference on Electrical, Electronics, Computer Engineering and their Applications (EECEA), 2016. pp. 133-139. DOI: 10.1109/EECEA.2016.7470779.

Assyadzily, M., Suhartomo, A. and Silitonga, A., Evaluation of X2-handover performance based on RSRP measurement with Friis path loss using network simulator version 3 (NS-3). 2nd International Conference on Information and Communication Technology (ICoICT), 2014. pp. 436-441. DOI: 10.1109/ICoICT.2014.6914102.

Chanchí-Golondrino, G.E., Urbano-Ordoñez, F.A. y Campo-Muñoz, W.Y., Pruebas de estrés para servicios de videostreaming basados en el protocolo RTSP. Revista Tecnura [Online]. 19(46), 2015. [consulted, 5 August 2016]. Available at: http://revistas.udistrital.edu.co/ojs/index.php/Tecnura/article/view/9543.

Higher Layer LAN Protocols Working Group. 802.1Q-2014 - IEEE Standard for local and metropolitan area networks-bridges and bridged networks. IEEE Std 802.1Q. 2014. [online]. Available at: http://ieeexplore.ieee.org/document/6991462/ DOI: 10.1109/IEEESTD.2014.6991462

ITU., G.1010: End-user multimedia QoS categories. [online], International Telecommunication Union, 2001 [consulted 15th July 2016], Available at: https://www.itu.int/rec/T-REC-G.1010-200111-I/

Szigeti, T. and Hattingh, C., End-to-end QoS network design: Quality of service in LANs, WANs, and VPNs. Cisco Press, 2004.