Title :
Wavelet-based models for network traffic
Author :
Wei, Dong ; Cheng, Haiguang
Author_Institution :
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
Abstract :
We propose a novel set of wavelet-based stochastic models for self-similar network traffic with non-Gaussian behavior. We show that these models are sufficiently accurate and parsimonious, and have very low computational complexity in analysis and synthesis
Keywords :
fractals; stochastic processes; telecommunication networks; telecommunication traffic; wavelet transforms; computational complexity; non-Gaussian behavior; self-similar network traffic; stochastic models; traffic analysis; traffic synthesis; wavelet-based models; Context modeling; Electronic mail; Fractals; Network synthesis; Predictive models; Random processes; Statistical distributions; Stochastic processes; Telecommunication traffic; Traffic control;
Conference_Titel :
Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-5988-7
DOI :
10.1109/SSAP.2000.870173
