DocumentCode
508891
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
Volume
1
fYear
2009
fDate
21-22 Nov. 2009
Firstpage
15
Lastpage
17
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-0-7695-3859-4
Type
conf
DOI
10.1109/IITA.2009.371
Filename
5368393
Link To Document