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Author Chandramouli, Y. ♦ Neidhardt, Arnold L.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract In general, the traffic characteristics of the individual applications that constitute the aggregate traffic on a network can be important for capacity engineering. In this paper, we demonstrate, based on mathematical analysis, the value of application-specific measurements, even when there is no service differentiation. Specifically, under certain assumptions, we obtain the result that engineering errors occur when traffic characteristics of individual applications are ignored, and that the errors are in the direction of under-engineering. The assumptions are that the individual applications can be modeled adequately as Fractional Brownian Motions and that measurements are available only at relatively coarse time scales (as is common presently). The results in this paper emphasize the value of collecting fine-grained traffic measurements.
Description Affiliation: Telcordia Technologies, Red Bank, NJ (Neidhardt, Arnold L.) || Dynamicsoft Inc, East Hanover, NJ (Chandramouli, Y.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-01-10
Publisher Place New York
Journal ACM SIGMETRICS Performance Evaluation Review (PERV)
Volume Number 30
Issue Number 3
Page Count 3
Starting Page 29
Ending Page 31


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Source: ACM Digital Library