Real-Time Analytics for IP Video Multicast (2018)

By Dr. Claudio Righetti, Emilia Gibellini, Florencia De Arca, Mariela Fiorenzo & Gabriel Carro, Telecom Argentina

In order to understand the impact of multicast implementation, it is necessary to collect data on key indicators such as the number of concurrent streams, the average bitrate, and the average bandwidth, among others. We use these indicators to estimate the gain, in terms of bandwidth, at a service group level. The aim of this paper is to analyze the way in which the gain varies according to the service group size and its location, and to obtain –through the usage of statistical modeling–a model that describes and quantifies this relationship. In addition, the gain is estimated under a wide variety of scenarios, to know how many channels should be set to multicast, and if there is any gain in having a real-time analytics system that updates what channels should be delivered using Multicast.

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