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Abstract: Data traffic sequences from two campus FDDI rings, an Ethernet, two entry/exit points of the NSFNET, and sub-sequences belonging to popular TCP port numbers on one of the FDDI rings indicate that appropriately differenced time-series generated from these traces can be modeled as Auto-Regressive-Moving-Average (ARMA) processes. The variates of the ARMA filter are, however, non-Gaussian. A sequence of steps leading through (i) parameter estimation, (ii) generating the distribution of the... (Update)
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BibTeX entry: (Update)
S. Basu and A. Mukherjee. Time series models for internet traffic. Technical Report GIT-CC-95-27, Georgia Institure of Technology, 1996. http://citeseer.ist.psu.edu/basu96time.html More
@inproceedings{ basu96time,
author = "Sabyasachi Basu and Amarnath Mukherjee and Steve Klivansky",
title = "Time Series Models for Internet Traffic",
booktitle = "{INFOCOM} (2)",
pages = "611-620",
year = "1996",
url = "citeseer.ist.psu.edu/basu96time.html" }
Citations (may not include all citations):4 Prentice Hall (context) - Edition - 1994
2 IEEE Trans (context) - tra, extended - 1994
1 Journal of Internetworking: Practice and Experience (context) - Driving, TCP et al. - 1992
1 College of Computing Tech Report GIT-CC (context) - Computing, GIT et al. - 1994
The graph only includes citing articles where the year of publication is known.
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