DocumentCode :
3231708
Title :
Data Burst Statistics and Performance Analysis of Optical Burst Switching Networks with Self-Similar Traffic
Author :
Ruyan, Wang ; Dapeng, Wu ; Fang, Guo
Author_Institution :
Chongqing Univ. of Posts & Telecommun., Chongqing
Volume :
3
fYear :
2007
fDate :
July 30 2007-Aug. 1 2007
Firstpage :
974
Lastpage :
978
Abstract :
The self-similar model can reflect the Internet traffic property more precisely than Poisson model, the theoretical and simulation results of burst length distribution based on the time threshold assembly mechanism are shown in this paper. Moreover, the simulation result of OBS schedule algorithm under self-similar traffic model is reported. Both the analytic and simulation results show that burst length distribution is related to the length of assembly period; secondly, the assembly mechanism based on time period can reduce the self-similarity of traffic effectively; at last, the schedule algorithms in OBS have different performance based on the self-similar traffic.
Keywords :
Internet; Poisson distribution; optical burst switching; optical fibre networks; telecommunication traffic; OBS schedule algorithm; Poisson model; burst length distribution; data burst statistics; optical burst switching network; performance analysis; self-similar Internet traffic model; time threshold assembly mechanism; Assembly; Internet; Mechanical factors; Optical burst switching; Performance analysis; Scheduling algorithm; Statistical analysis; Statistical distributions; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-2909-7
Type :
conf
DOI :
10.1109/SNPD.2007.450
Filename :
4287990
Link To Document :
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