DocumentCode :
2435372
Title :
A simulation study of the impact of switching systems on self-similar properties of traffic
Author :
Zhou, Yunkai ; Sethu, Harish
Author_Institution :
Dept. of Electron. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
fYear :
2000
fDate :
2000
Firstpage :
500
Lastpage :
504
Abstract :
Recent research has shown that traffic in Ethernet and other networks tends to exhibit properties of self-similarity such as long-range dependence and a high degree of correlation between arrivals. This paper investigates the impact of the switching network on the self-similar properties of the traffic. This simulation study reveals that switching networks tend to reduce the self-similarity of highly self-similar traffic. This is because of the truncation of long bursts due to packet discards, and also because of aggregation of flows through concatenated rather than superposed bursts. On the other hand, switching systems have the opposite effect of increasing the self-similarity of input traffic that has no self-similar properties such as traffic with Poisson or uniformly random distributions. This paper also presents simulation-based evidence of the causes behind these phenomena
Keywords :
Poisson distribution; correlation theory; fractals; local area networks; packet switching; queueing theory; simulation; switching networks; telecommunication traffic; Ethernet; Poisson distribution; arrival correlation; burst truncation; concatenated bursts; flow aggregation; long-range dependence; packet discards; self-similar traffic; simulation; switching network; switching systems; uniformly random distribution; Analytical models; Communication system traffic control; Concatenated codes; Ethernet networks; Network topology; Scheduling algorithm; Switches; Switching systems; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-5988-7
Type :
conf
DOI :
10.1109/SSAP.2000.870175
Filename :
870175
Link To Document :
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