Abstract
The interest for video delivery systems over the Internet has been gradually growing up last years. It has already become a major application due to clients’ interest of video content and persistent development of network technologies. Users’ behavior is playing an increasingly crucial role in the performance of such applications. This paper proposes an efficient analysis of the user’s behavior for a long-running P2P IPTV service infrastructure developed and maintained by Lancaster University. The proposed analysis presents remarkable parameters that could be helpful for the service provider to consider for their network design.
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Elhoseny, M., Shehab, A., Osman, L. (2018). An Empirical Analysis of User Behavior for P2P IPTV Workloads. In: Hassanien, A., Tolba, M., Elhoseny, M., Mostafa, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). AMLTA 2018. Advances in Intelligent Systems and Computing, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-319-74690-6_25
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DOI: https://doi.org/10.1007/978-3-319-74690-6_25
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