DocumentCode :
1578523
Title :
Sensitivity of a network traffic prediction algorithm
Author :
López-Guerrero, Miguel ; Gallardo, José R. ; Makrakis, Dimitrios ; Orozco-Barbosa, Luis
Author_Institution :
Broadband Wireless & Internetworking Res. Lab., Ottawa Univ., Ont., Canada
Volume :
2
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
615
Abstract :
A traffic prediction algorithm is evaluated. It assumes that network traffic is realistically modeled using alpha-stable long-range dependent stochastic processes. This work analyzes the sensitivity of the prediction algorithm with respect to inaccuracies introduced when extracting the model parameters
Keywords :
noise; prediction theory; stochastic processes; telecommunication networks; telecommunication traffic; alpha-stable stochastic processes; fractional stable noise; long range dependent stochastic processes; model parameters extraction; network traffic; network traffic prediction algorithm sensitivity; 1f noise; Algorithm design and analysis; Internetworking; Noise generators; Prediction algorithms; Random variables; Stochastic processes; Telecommunication traffic; Traffic control; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Computers and signal Processing, 2001. PACRIM. 2001 IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-7080-5
Type :
conf
DOI :
10.1109/PACRIM.2001.953708
Filename :
953708
Link To Document :
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