Abstract
The increase of HTTP-based video popularity causes that broadband and Internet service providers’ links transmit mainly multimedia content. Network planning, traffic engineering or congestion control requires an understanding of the statistical properties of network traffic; therefore, it is desirable to investigate the characteristic of traffic traces generated by systems which employ adaptive bit-rate streaming. Our first contribution is an investigation of traffic originating from 120 client-server pairs, situated in an emulated content distribution network, and multiplexed onto a single network link. We show that the structure of the traffic is distinct from the structure generated by the first and second generation of HTTP video systems, and furthermore, not similar to the structure of general Internet traffic. The obtained traffic exhibits negative and positive correlations, anti-persistence, and its distribution function is skewed to the right. Our second contribution is an approximation of the traffic by ARIMA/FARIMA processes blue and artificial neural networks. As we show, the obtained traffic models are able to enhance the performance of an adaptive streaming algorithm.
Highlights
IntroductionWeb-based video sharing services like YouTube, Hulu or Dailymotion have become very popular
During the past years, web-based video sharing services like YouTube, Hulu or Dailymotion have become very popular
We examined statistical properties of aggregated traffic generated by 120 client-server pairs in a video adaptive system
Summary
Web-based video sharing services like YouTube, Hulu or Dailymotion have become very popular. Attempts are being made to adapt the delivery of multimedia content to the Internet environment One of such attempts tries to introduce an additional layer of application control to transmitted video traffic [3]. The application may limit the rate at which data is passed to a network stack for transmission, and, if the video bit rate is lower than the end-to-end available bandwidth, the traffic characteristic will differ from a standard TCP flow. The players implement stream-switching (or multi-bit-rate): the content, which is stored at a web server, is encoded at different bit-rate levels, an adaptation algorithm selects the video level, which is to be streamed, based on a state of a video player, for example on the length of the player buffer, or on the state of network environment, for example on the amount of available bandwidth [3]
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