A DWT-BASED MODEL FOR NETWORK TRAFFIC
This work was supported by the State 863 Program (2003AA148040), the National Natural Science Foundation of China (grant number 10471151,60216263, 6990312), New Century Excellent Talent Support Project of Chinese Ministry of Education, Doctor Station Foundation of Chinese Ministry of Education, Chongqing Tackle Key Problem Program (CSTC, 2004AC2008) and Chongqing Natural Science Foundation (CSTC, 2004BB2151).
Traffic models play a significant role in the analysis and characterization of network traffic and network performance. Thorough research and accurate modeling on network traffic become an efficient way to explore network internal mechanism and optimize network performance. In this paper, we put forward an Haar DWT-based (Discrete Wavelet Transform) traffic model. The properties of the DWT-based model and the scaling analysis on the two simulated traces show that our model can capture the self-similar and multifractal properties in the network traffic.
