Title : 
Mean and Standard Deviation Profiles for a Single-Server FIFO Queuing Node Carrying Heterogeneous Poisson and Pareto Traffic during a Bandwidth Probing Event: Analysis vs. Computer Simulation
         
        
            Author : 
Tunnicliffe, M.J. ; Hosseinpour, M.
         
        
            Author_Institution : 
Fac. of Comput., Kingston Univ., Kingston-on-Thames
         
        
        
        
        
        
            Abstract : 
Analytical expressions were obtained for the mean and standard deviation virtual waiting time profiles of a single-server FIFO queuing buffer loaded with heterogeneous (non-uniform packet-size) Poisson traffic disturbed by the passage of a bandwidth probing packet. The predictions were compared with the results of a computer simulation, using both Poisson and batch-Pareto (ON/OFF) cross-traffic arrival mechanisms. The model accurately predicted the simulated behaviour under Poisson traffic, though it showed a slight but consistent tendency to under-predict the standard deviation. For the scenarios reported, the Pareto results also showed reasonably close agreement with the model, though without the tendency towards under-prediction.
         
        
            Keywords : 
Pareto analysis; queueing theory; stochastic processes; telecommunication traffic; bandwidth probing packet; computer simulation; heterogeneous Poisson cross-traffic arrival; heterogeneous batch-Pareto cross-traffic arrival; mean waiting time profile; single-server FIFO queuing node; standard deviation waiting time profile; Analytical models; Bandwidth; Computational modeling; Computer simulation; Information analysis; Pareto analysis; Predictive models; Probes; Queueing analysis; Traffic control; Bandwidth Measurement; Queuing Dynamics;
         
        
        
        
            Conference_Titel : 
Computer Modelling and Simulation, 2009. UKSIM '09. 11th International Conference on
         
        
            Conference_Location : 
Cambridge
         
        
            Print_ISBN : 
978-1-4244-3771-9
         
        
            Electronic_ISBN : 
978-0-7695-3593-7
         
        
        
            DOI : 
10.1109/UKSIM.2009.73