Mathematical statistical characterization of high-speed computer network traffic data
type: Item
instance of: scholarly article
zbMATH Open document ID: 0959.68002
author: Zoltán Gál
author: E. Iglói
author: Gy. Terdik
publication date: 2001-04-01T00:00:00Z
Mathematics Subject Classification ID: 68M10
Mathematics Subject Classification ID: 68M20
zbMATH DE Number: 1583152
zbMATH Keywords: computer network traffic data
MaRDI profile type: Publication
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title: Mathematical statistical characterization of high-speed computer network traffic data
published in: Alkalmazott Matematikai Lapok. A Magyar Tudomanyos Akademia. Matematikai es Fizikai Tudomanyok Osztalyanak Közlemenyei
review text: The authors study the traffic of high speed FDDI networks on the basis of data measured in a real life environment. The measurements took place at the five member institutes of University of Debrecen by getting router data. The paper is about analyizing frame traffic through routers. Higher level protocols are not discussed which is natural considering the goal of the paper and the technical implementation characterizing lower layers. The paper says that after seasonally adjusting data taken from the measurements, the processes have ``long memory'' in all five cases. The authors estimate the memory parameter in three different ways. They provide the estimations after giving the details of the methods of the estimations. It is interesing that in certain cases all there methods yield nearly the same result (e.g. Institute DRK 0.42, 0.39, 0.4), while in other cases the deviation is greater. The later deviation is not considered significant by the authors. The 0.48 estimation of the third method in case of Institute MFK can be regarded as an interesting result considering the inequalities. NEWLINENEWLINENEWLINEThe paper is easily readable, the results are well illustrated.
description: scientific article