DocumentCode
624264
Title
Internet delay statistics: Measuring internet feel using a dichotomous Hurst parameter
Author
DeVirgilio, Mark ; Pan, W.D. ; Joiner, Laurie L. ; Dongsheng Wu
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Alabama in Huntsville, Huntsville, AL, USA
fYear
2013
fDate
4-7 April 2013
Firstpage
1
Lastpage
6
Abstract
As Internet delay times affect the perceptions of users, the ability to differentiate the feel of Internet sites using statistical measures beyond average packet delays may be of commercial value. One such statistical measure is the Hurst parameter of a long-range dependent (LRD) process. A dichotomous Hurst parameter derived from segmented day and night delay data suggests that variations in Internet delay statistics are real and may be caused by diurnal human activity.
Keywords
Internet; statistical analysis; Internet delay statistics; Internet delay times; Internet feel; Internet sites; LRD process; average packet delays; dichotomous hurst parameter; diurnal human activity; long-range dependent process; segmented day and night delay data; user perceptions; Delays; Frequency measurement; IP networks; Internet; Servers; Time series analysis; Hurst parameter; Internet delays; fingerprinting; network feel;
fLanguage
English
Publisher
ieee
Conference_Titel
Southeastcon, 2013 Proceedings of IEEE
Conference_Location
Jacksonville, FL
ISSN
1091-0050
Print_ISBN
978-1-4799-0052-7
Type
conf
DOI
10.1109/SECON.2013.6567481
Filename
6567481
Link To Document