Traffic Modeling Methodology for Performance Analysis of a Class of Wide-Area Network Problems

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Fifth IEEE International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems (MASCOTS'97)

Haifa, ISRAEL

January 12-January 15

ISBN: 0-8186-7758-9

	ASCII Text	x
	S.M. Klivansky, "Traffic Modeling Methodology for Performance Analysis of a Class of Wide-Area Network Problems," Modeling, Analysis, and Simulation of Computer Systems, International Symposium on, pp. 241, Fifth IEEE International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems (MASCOTS'97), 1997.

	BibTex	x
	@article{ 10.1109/MASCOT.1997.567619, author = {S.M. Klivansky}, title = {Traffic Modeling Methodology for Performance Analysis of a Class of Wide-Area Network Problems}, journal ={Modeling, Analysis, and Simulation of Computer Systems, International Symposium on}, volume = {0}, year = {1997}, isbn = {0-8186-7758-9}, pages = {241}, doi = {http://doi.ieeecomputersociety.org/10.1109/MASCOT.1997.567619}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Modeling, Analysis, and Simulation of Computer Systems, International Symposium on TI - Traffic Modeling Methodology for Performance Analysis of a Class of Wide-Area Network Problems SN - 0-8186-7758-9 SP EP A1 - S.M. Klivansky, PY - 1997 KW - wide area networks KW - traffic modeling KW - performance analysis KW - wide-area network KW - positive autocorrelations KW - input traffic KW - queue length statistics KW - multiplexer KW - slowly decaying autocorrelation structure KW - network environments KW - network performance analysis KW - temporal dependencies KW - marginal distribution KW - packet arrival process KW - connection oriented traffic KW - wide-area backbone network KW - trace sampling KW - TCP traffic VL - 0 JA - Modeling, Analysis, and Simulation of Computer Systems, International Symposium on ER -

S.M. Klivansky, Sun Microsyst. Comput. Co., Mountain View, CA, USA

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MASCOT.1997.567619

Positive auto-correlations in input traffic dramatically increase the queue length statistics at a multiplexer. Further, traffic over several data networks has been found to possess a slowly decaying auto-correlation structure. These characteristics are difficult to capture using simple traditional models, and yet accurate studies of network environments need to be based on realistic traffic. This paper presents a traffic modeling methodology for network performance analysis that appears to preserve the temporal dependencies and the marginal distribution of the packet arrival process for connection-oriented traffic over a wide-area backbone network.

Index Terms:

wide area networks, traffic modeling, performance analysis, wide-area network, positive autocorrelations, input traffic, queue length statistics, multiplexer, slowly decaying autocorrelation structure, network environments, network performance analysis, temporal dependencies, marginal distribution, packet arrival process, connection oriented traffic, wide-area backbone network, trace sampling, TCP traffic

Citation:

S.M. Klivansky, "Traffic Modeling Methodology for Performance Analysis of a Class of Wide-Area Network Problems," mascots, pp.241, Fifth IEEE International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems (MASCOTS'97), 1997

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