DocumentCode
2331040
Title
OPN05-4: Performance Model for a Lossless Edge Node of OBS Networks
Author
Hu, Guoqiang
Author_Institution
Inst. of Commun. Networks & Comput. Eng., Univ. of Stuttgart, Stuttgart
fYear
2006
fDate
Nov. 27 2006-Dec. 1 2006
Firstpage
1
Lastpage
6
Abstract
In this paper, the performance model for a lossless OBS edge node is built with respect to the queueing performance of the transmission buffer. In contrast to the shaping effect of the burst assembly in the bufferless edge node, in a lossless edge node the "burstifying" effect of the assembly is more dominant and leads to a worse queueing performance in the transmission buffer. We analyze the traffic characteristic by means of the variance process and identify that there exists a negative correlation structure in the assembled burst traffic in the small time scale, which resembles that of a CBR flow. Through the analysis of the relevant time scale, it is found that this small time scale traffic behavior dominates the queueing performance in most cases and the performance of burst transmission buffer can be well estimated by a corresponding ND/D/1 model. In the case of the self-similar input traffic with large peakness and at a high system load, the tail behavior of large queue length becomes much worse and can be estimated by a fractional Brownian motion (FBM) model considering the large time scale traffic behavior. Our performance model provides a simple but accurate analytical method for the performance evaluation and system design.
Keywords
optical burst switching; optical fibre networks; queueing theory; telecommunication traffic; CBR flow; ND/D/1 model; OBS network; burst traffic; fractional Brownian motion model; large time scale traffic behavior; lossless edge node; negative correlation structure; optical burst switching; queueing performance model; self-similar input traffic; transmission buffer; variance process; Analysis of variance; Assembly; Motion estimation; Neodymium; Performance analysis; Performance loss; Propagation losses; Queueing analysis; Tail; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
Conference_Location
San Francisco, CA
ISSN
1930-529X
Print_ISBN
1-4244-0356-1
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2006.385
Filename
4151015
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