It has been reported that key characteristic features such as non-stationarity, long range dependency (LRD) and fat tails are present in a typical data set of router utilization. These characteristics mainly have been assessed based on
simulated data. This paper verifies the presence of the above characteristics using real data. The verification is based on qualitative analysis of router utilization data using the tools of histograms, QQ-plot and autocorrelation theory. In addition, two different real sets of user
utilization data are graphically presented along with the qualitative results of histogram, QQ-plot and autocorrelation function.
1st Mosharaka International Conference on Telecommunication Systems and Networks (MIC-Telecom 2013)
Congress
2013 Global Congress on Telecommunication Systems and Networks (GC-Telecom 2013), 20-22 December 2013, Barcelona, Spain
Pages
31-36
Topics
Web Metrics and Applications Internet Appliances
ISSN
2227-331X
DOI
BibTeX
@inproceedings{628Telecom2013,
title={Qualitative Assessment of Traffic in Computer Networks},
author={Iordanis Giannopoulos, and Asimakis Leros, and Apostolos P. Leros},
booktitle={2013 Global Congress on Telecommunication Systems and Networks (GC-Telecom 2013)},
year={2013},
pages={31-36},
doi={}},
organization={Mosharaka for Research and Studies}
}
