Traffic Models for Data, Voice and Video Sources in Atm

نویسندگان

  • Virgil Dobrota
  • Daniel Zinca
چکیده

This paper presents an overview of the existing traffic models for data, voice and video sources in ATM. The first paragraph is devoted to bursty traffic of constant throughput, based on classical ON/OFF model. Obviously the superposition of several independent sources gives the method for modelling the variable rate streams. Possible solutions for voice traffic are offered by Markov-Modulated Poisson process model or by fluid source model. Due to different types of correlation between successive frames, the video services are mainly different than voice and data, involving continuous/discrete-state autoregressive Markov and autoregressive moving average process models. Index terms Asynchronous Transfer Mode, Traffic Models, Data/Voice/Video Sources 

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تاریخ انتشار 2012