Characterization of traffic of the video streaming service based on lexical analyzers

Abstract

The video streaming service, besides offering interactivity by users' actions through pauses, backwards, and forwards, is the highest generator of traffic on data networks. Hence, it is necessary to characterize this behavior for network dimensioning. This article presents the conceptual models of the service and a lexical analyzer whose function is the automatic extraction of the different frames of traffic streams and identification of interactivity processes. Through the lexical analyzer, the information from each of the components of the service such as the I, P, and B frames is extracted; and so is the audio component. This means that the lexical analyzer provides granularity to the characterization process. Thus, it is expected that the lexical tool allows studying the behavior of traffic based on distribution functions obtained in situ, not relying on assumptions or studies from other researchers.

Caracterización de tráfico para el servicio de Video Streaming en vivo sobre DASH en redes 4G basado en analizadores sintácticos

“…Within the context of the emulation scenario approach to conducting traffic characterization studies, in [10], the authors present the traffic characterization of a VoD service in an IPTV network and use a lexical analyzer designed for this activity to facilitate the study. In [11], the authors perform a traffic characterization for the VoD service on HFC networks using the RTMP protocol.…”

“…In addition to these slices, there is the audio information [17]. Due to the degree of difficulty involved in capture, identification, filtering, and exportation activities of each of the slices that make up the video streaming services, which also allow characterizing traffic, it is necessary to use tools such as lexical or syntactic analyzers [10], which permit speeding up these types of processes. This work sought to characterize LVS traffic in an emulated LTE network that uses the DASH adaptive streaming technique.…”