Translator Disclaimer
12 May 2006 Estimating degree of mixing in statistically multiplexed data
Author Affiliations +
This paper examines the problem of determining the degree of mixing of two independent and different types of traffic streams from observations of their statistically multiplexed stream. A common example of a pair of such different stream types in networks would be one conforming to the conventional Poisson model and the other obeying long-range dependence characterized by a heavy-tailed distribution. We provide an expression for the probability density function of the inter-arrival time of the mixed stream in terms of those of the input streams for the general case. An approach is provided to estimate input parameters from the first and second order statistics of the output traffic for the specific case of multiplexing Poisson and heavy-tailed processes.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rajesh Narasimha, Raghuveer M. Rao, and Sohail Dianat "Estimating degree of mixing in statistically multiplexed data", Proc. SPIE 6248, Wireless Sensing and Processing, 62480V (12 May 2006);


Video multiplexing with QoS constraints
Proceedings of SPIE (December 15 1998)
Discovering video structure using the pseudosemantic trace
Proceedings of SPIE (December 31 2000)
Distribution of shot lengths for video analysis
Proceedings of SPIE (December 18 2001)
Statistical multiplexing of VBR+ video
Proceedings of SPIE (October 09 1997)

Back to Top