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Forwarding devices: From measurements to simulations

Forwarding devices: From measurements to simulations Forwarding Devices: From Measurements to Simulations ROMAN CHERTOV, Aerospace Corporation SONIA FAHMY, Purdue University Most popular simulation and emulation tools use high-level models of forwarding behavior in switches and routers, and give little guidance on setting model parameters such as buffer sizes. Thus, a myriad of papers report results that are highly sensitive to the forwarding model or buffer size used. Incorrect conclusions are often drawn from these results about transport or application protocol performance, service provisioning, or vulnerability to attacks. In this article, we argue that measurement-based models for routers and other forwarding devices are necessary. We devise such a model and validate it with measurements from three types of Cisco routers and one Juniper router, under varying traf c conditions. The structure of our model is device-independent, but the model uses device speci c parameters. The compactness of the parameters and simplicity of the model make it versatile for high- delity simulations that preserve simulation scalability. We construct a pro ler to infer the parameters within a few hours. Our results indicate that our model approximates different types of routers signi cantly better than the default ns-2 simulator models. The results also indicate that queue characteristics http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Modeling and Computer Simulation (TOMACS) Association for Computing Machinery

Forwarding devices: From measurements to simulations

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2011 by ACM Inc.
ISSN
1049-3301
DOI
10.1145/1899396.1899400
Publisher site
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Abstract

Forwarding Devices: From Measurements to Simulations ROMAN CHERTOV, Aerospace Corporation SONIA FAHMY, Purdue University Most popular simulation and emulation tools use high-level models of forwarding behavior in switches and routers, and give little guidance on setting model parameters such as buffer sizes. Thus, a myriad of papers report results that are highly sensitive to the forwarding model or buffer size used. Incorrect conclusions are often drawn from these results about transport or application protocol performance, service provisioning, or vulnerability to attacks. In this article, we argue that measurement-based models for routers and other forwarding devices are necessary. We devise such a model and validate it with measurements from three types of Cisco routers and one Juniper router, under varying traf c conditions. The structure of our model is device-independent, but the model uses device speci c parameters. The compactness of the parameters and simplicity of the model make it versatile for high- delity simulations that preserve simulation scalability. We construct a pro ler to infer the parameters within a few hours. Our results indicate that our model approximates different types of routers signi cantly better than the default ns-2 simulator models. The results also indicate that queue characteristics

Journal

ACM Transactions on Modeling and Computer Simulation (TOMACS) – Association for Computing Machinery

Published: Feb 1, 2011

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