Title :
Cell loss analysis of self-similar traffic in ATM network
Author :
Ambikairajah, E.
Abstract :
In this paper, the effects of various Hurst (H) parameters on the cell loss are analysed based on the G/D/1 queuing model and on FCFS basis. This study involves statistical analysis and simulation based on discrete time advance algorithm and in OPNET 7.0. In the simulation, synthetic self-similar traffic is used as an input. This traffic is based on the RMD (random midpoint displacement) algorithm. The purpose of this simulation is to describe the ATM network performance in terms of cell loss for different H-parameters. This study shows that the H-parameter has a significant effect on the performance of the network. One of the indicators is the increasing cell loss for increasing H-parameter. Furthermore, self-similar traffic results in a bursty distribution of cell loss.
Keywords :
asynchronous transfer mode; queueing theory; statistical analysis; telecommunication computing; telecommunication congestion control; telecommunication traffic; ATM network; FCFS basis; G/D/1 queuing model; H-parameters; Hurst parameters; OPNET 7.0; RMD algorithm; bursty cell loss distribution; cell loss analysis; discrete time advance algorithm; network performance; random midpoint displacement algorithm; self-similar traffic; simulation; statistical analysis; synthetic self-similar traffic input; Analysis of variance; Density functional theory; Distribution functions; Equations; Intelligent networks; Network servers; Queueing analysis; Statistical analysis; Telecommunication traffic; Traffic control;
Conference_Titel :
Circuits and Systems, 2002. APCCAS '02. 2002 Asia-Pacific Conference on
Print_ISBN :
0-7803-7690-0
DOI :
10.1109/APCCAS.2002.1115304
