DocumentCode :
1672557
Title :
How Different Queuing Systems Affect the Discrete Representation of a Packet Stream
Author :
Sleurs, Kristof ; Li, Dagang ; Van Lil, Emmanuel ; Van de Capelle, Antoine
Author_Institution :
TELEMIC Div., K.U.Leuven, Leuven
fYear :
2008
Firstpage :
1
Lastpage :
6
Abstract :
A large number of research articles are devoted to queuing theory and queuing systems. Most of these articles employ a continuous representation of network traffic, in the form of timestamps or interarrival times. In this, there is a contradiction with more recent traffic models capable of capturing the multi-fractal nature of network traffic e.g. the conservative cascade model. These models often represent packet streams in a discrete way by calculating the bin count vector. Directly describing the effect of queuing systems on the variance-time behavior of this discrete representation of traffic is relatively unexplored terrain. This paper presents and analyzes some qualitative results on the altering of a bin count vector when passing it through a queuing system. After the detailed analysis of a basic fixed service time queue, some considerations are made on real networking components. This leads to extending the basic queue model with variable service times, based on the packet size distribution. Finally, the influence of the shape of this distribution on the queuing effects is studied.
Keywords :
queueing theory; statistical distributions; telecommunication traffic; bin count vector; conservative cascade model; discrete packet stream representation; network traffic multifractal nature; packet interarrival time; packet size distribution; packet timestamp; queuing system; queuing theory; variance-time behavior; Additive noise; Analytical models; Communication system traffic control; Fractals; Gaussian noise; Mathematical model; Queueing analysis; Shape; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location :
New Orleans, LO
ISSN :
1930-529X
Print_ISBN :
978-1-4244-2324-8
Type :
conf
DOI :
10.1109/GLOCOM.2008.ECP.263
Filename :
4698038
Link To Document :
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