Designing an effective and high performance network requires an accurate characterization and modeling of network traffic. The\nmodeling of video frame sizes is normally applied in simulation studies and mathematical analysis and generating streams for\ntesting and compliance purposes. Besides, video traffic assumed as a major source of multimedia traffic in future heterogeneous\nnetwork. Therefore, the statistical distribution of video data can be used as the inputs for performance modeling of networks. The\nfinding of this paper comprises the theoretical definition of distribution which seems to be relevant to the video trace in terms of\nits statistical properties and finds the best distribution using both the graphical method and the hypothesis test. The data set used\nin this article consists of layered video traces generating from Scalable Video Codec (SVC) video compression technique of three\ndifferent movies.
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