Abstract
This work attempts to characterize network traffic flows originating from large-scale video sharing services such as YouTube. The key technical contributions of this paper are twofold. We first present a simple and effective methodology that identifies traffic flows originating from video hosting servers. The key idea behind our approach is to leverage the addressing/naming conventions used in large-scale server farms. Next, using the identified video flows, we investigate the characteristics of network traffic flows of video sharing services from a network service provider view. Our study reveals the intrinsic characteristics of the flow size distributions of video sharing services. The origin of the intrinsic characteristics is rooted on the differentiated service provided for free and premium membership of the video sharing services. We also investigate temporal characteristics of video traffic flows.
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Mori, T., Kawahara, R., Hasegawa, H., Shimogawa, S. (2010). Characterizing Traffic Flows Originating from Large-Scale Video Sharing Services. In: Ricciato, F., Mellia, M., Biersack, E. (eds) Traffic Monitoring and Analysis. TMA 2010. Lecture Notes in Computer Science, vol 6003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12365-8_2
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DOI: https://doi.org/10.1007/978-3-642-12365-8_2
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