By James Roberts, Ugo Mocci, Jorma Virtamo (eds.)
This coherently established and authorative textual content is the ultimate record of the eu motion expense 242, dedicated to advancing study within the box of multiservice community layout and function evaluation.
The first-class effects offered are principally in keeping with a few 240 motion studies compiled in cooperation among researchers from academia and pros from and mentioned throughout the rate 242 conferences. The 18 chapters of the booklet are divided into components on site visitors regulate in broadband networks, broadband community layout, and site visitors types and queueing research; additionally incorporated is a bibliography directory 412 entries. This paintings primarily advances the state-of-the-art within the sector and is correct to the foreign networking neighborhood at large.
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Extra resources for Broadband Network Traffic: Performance Evaluation and Design of Broadband Multiservice Networks
19. Comparing the plots of the three models leads to the conclusion that the most complex model, the Scene-oriented model, shows very good agreement with the empirical d a t a sets, whereas the the simpler models are unable to model the correlation behavior of the d a t a sets over a larger period of time. In the next section, we will examine how these properties affect the capabilities of the models if they are used to predict cell losses at an ATM multiplexer buffer with V B R M P E G video input.
These figures are shown for the sake of illustration and will not be used to c o m p a r e the models. As expected, the Q-Q-plot (cf. 9) shows t h a t the model provides a g o o d estimate of the empirical G O P size distribution. T h e disadvantage of this model is the lack of any G O P correlation information (cf. 10). 32 1. i "~ 15. 104 0 10. 104 5 9 104 0 10 9 104 20. 9: Q-Q-plot. 1 Star Wars - - Model --* .... 2 0 ..................... 10: Autocorrelation function. Simple MC model T h e Simple MC (Markov Chain) model consist of an ordinary lst-order Markov chain.
19: Autocorrelation function. 5. e. we s i m u l a t e d on f r a m e level a s s u m i n g a c o n s t a n t video source t r a n s m i s s i o n r a t e for each frame. T h e f r a m e level results are essentially equal to the cell level results if we a s s u m e t h a t each video source spaces the cells of one f r a m e over the f r a m e d u r a t i o n . 2). 2. VBR video traffic 39 1 10-1 ~'/~-~-:t~P"t O 10-2 O 10-3 D 10-4 ~/ lO-s //" S t a r Wm's Seene-onented model ....... Simple MC model .........