NDLI: Packet size process modeling of measured self-similar network traffic with defragmentation method

Content Provider	IEEE Xplore Digital Library
Author	Fras, M. Mohorko, J. Cucej, Z.
Copyright Year	2008
Description	Author affiliation: Fac. of Electr. Eng. & Comput. Sci., Maribor Univ., Maribor (Fras, M.; Mohorko, J.; Cucej, Z.)
Abstract	Analysis and modeling of telecommunication networks by simulations has become one of the main tools in the process of telecommunication-networkspsila planning and upgrading. Knowledge regarding the statistical modeling of network traffic is very important. Here we tend towards modeled network traffic which would be the best possible approximation of the measured traffic. Throughout our research in the field of self-similar network traffic we have faced problem of statistically describing the packet-size process. We have noticed that small discrepancies between measured histograms and estimated probability density functions, as used in traffic generator models, lead to large discrepancy between measured and modeled network traffics. In this research we tried to estimate the probability density function of a measured histogram for process-packet size, in such way that would decrease these discrepancies. For this purpose, we have developed a novel method of modeling network traffic, which is based on the defragmentation of measured traffic. Using this defragmentation method, we can estimate parameters of filespsila size process, from captured packets and use these statistical parameters for traffic generation, via the OPNET simulation tool. From these simulations, we can show that this newly-developed method decreases discrepancy between packet size process histograms of measured and simulated network traffics. This consequently leads to a decrease in discrepancy between measured and simulated network traffics.
Starting Page	253
Ending Page	256
File Size	348574
Page Count	4
File Format	PDF
ISBN	9788022728560
DOI	10.1109/IWSSIP.2008.4604415
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-25
Publisher Place	Slovakia
Access Restriction	Subscribed
Rights Holder	15th International Conference on Systems, Signals and Image Processing
Subject Keyword	histogram network traffic packet size process Histograms Correlation Estimation Probability density function Size measurement Generators IP networks self-similarity
Content Type	Text
Resource Type	Article

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