TY - GEN
T1 - Analysis of self-similar traffic based on the on/off model
AU - Ju, Fang
AU - Yang, Jie
AU - Liu, Heng
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - H parameter
KW - Long-range dependence (LRD)
KW - On/Off model
KW - Self-similar traffic
UR - https://www.scopus.com/pages/publications/77951171232
U2 - 10.1109/IWCFTA.2009.69
DO - 10.1109/IWCFTA.2009.69
M3 - Conference contribution
AN - SCOPUS:77951171232
SN - 9780769538532
T3 - 2009 International Workshop on Chaos-Fractals Theories and Applications, IWCFTA 2009
SP - 301
EP - 304
BT - 2009 International Workshop on Chaos-Fractals Theories and Applications, IWCFTA 2009
T2 - 2009 International Workshop on Chaos-Fractals Theories and Applications, IWCFTA 2009
Y2 - 6 November 2009 through 8 November 2009
ER -