Title :
A new model for network traffic based on alpha-stable self-similar processes
Author :
Xiaohu, Ge ; Guangxi, Zhu ; Yaoting, Zhu
Author_Institution :
Dept. of Electron. & Informatics, Huazhong Univ. of Sci. & Technol., Wuhan, China
fDate :
28 Sept.-1 Oct. 2003
Abstract :
This paper proposes a new network traffic model based on alpha-stable processes. Then the traces of three different self-similar models are simulated. Comparing the traces of the simulation data and the trace of the actual data, it is shown that the new model is better than the other models in fitting with the actual data.
Keywords :
mathematical analysis; telecommunication traffic; alpha-stable self-similar processes; different self-similar models; network modeling; network traffic; Brownian motion; Displays; Distribution functions; Gaussian distribution; H infinity control; Probability distribution; Random variables; Shape; Telecommunication traffic; Traffic control;
Conference_Titel :
Networks, 2003. ICON2003. The 11th IEEE International Conference on
Print_ISBN :
0-7803-7788-5
DOI :
10.1109/ICON.2003.1266158