Title :
Research and Application of an Online Real time Hurst Parameter Measure Algorithm
Author :
Bai, Xiaoming ; Liu, Daohuan ; Qiu, Taorong
Author_Institution :
Dept. of Comput. Sci., Nanchang Univ., Nanchang, China
Abstract :
Several methods used for measure network traffic are introduced in this paper. Hurst parameter and Characteristic of R/S algorithm are analyzed in details. An online real-time Hurst parameter measure algorithm based on R/S algorithm is proposed, and algorithm steps are demonstrated by using emulation experiment. The experiment result shows that the online real -time Hurst parameter detection algorithm can compute accurately Hurst parameter of network traffic. The network traffic measure system can dynamically adjust the sampling interval with the change of the Hurst Parameter. So, the proposed algorithm provides a basis for traffic data storing and handling.
Keywords :
data handling; telecommunication traffic; data handling; emulation experiment; network traffic; online real time Hurst parameter; traffic data storing; Application software; Change detection algorithms; Computer science; Density functional theory; Estimation theory; Parameter estimation; Random processes; Statistics; Telecommunication traffic; Traffic control; R/S algorithm; network traffic; self-similarity; traffic model;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.371
