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
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