DocumentCode :
2037657
Title :
Internet delay statistics: Measuring Internet feel using a dichotomous Hurst parameter
Author :
DeVirgilio, Mark ; Pan, W. David ; Joiner, Laurie L. ; Wu, Dongsheng
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alabama in Huntsville, Huntsville, AL, USA
fYear :
2012
fDate :
15-18 March 2012
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; delays; social networking (online); statistical analysis; Internet delay statistics; Internet sites; LRD process; dichotomous Hurst parameter; diurnal human activity; long range dependent process; packet delay; statistical measure; Delay; Frequency measurement; IP networks; Internet; Servers; Time series analysis; Hurst parameter; Internet delays; fingerprinting; network feel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Southeastcon, 2012 Proceedings of IEEE
Conference_Location :
Orlando, FL
ISSN :
1091-0050
Print_ISBN :
978-1-4673-1374-2
Type :
conf
DOI :
10.1109/SECon.2012.6196995
Filename :
6196995
Link To Document :
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