DocumentCode
2794774
Title
Analysis of Self-Similar Traffic Based on the On/Off Model
Author
Ju, Fang ; Yang, Jie ; Liu, Heng
Author_Institution
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
fYear
2009
fDate
6-8 Nov. 2009
Firstpage
301
Lastpage
304
Abstract
This paper analyzes the influence of self-similar traffic on Ethernet based on the On/Off model, which treats the self-similar process as the superposition of tremendous data sources with heavy-tailed distribution. Simulated in several scenarios with different H parameter, the result indicates that self-similar traffic has negative influence on the performance of networks at delay, throughput and other aspects. As a significant property, it has really brought great challenge to the deeper research of today´s network.
Keywords
local area networks; telecommunication traffic; Ethernet; H parameter; On/Off model; heavy-tailed distribution; self-similar traffic analysis; Autocorrelation; Chaos; Communication system traffic control; Electronic mail; Ethernet networks; Information analysis; Protocols; Stochastic processes; Telecommunication traffic; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Chaos-Fractals Theories and Applications, 2009. IWCFTA '09. International Workshop on
Conference_Location
Shenyang
Print_ISBN
978-0-7695-3853-2
Type
conf
DOI
10.1109/IWCFTA.2009.69
Filename
5362014
Link To Document