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INFOCOM
2002
IEEE

Inference and Labeling of Metric-Induced Network Topologies

8 years 11 months ago
Inference and Labeling of Metric-Induced Network Topologies
—The development and deployment of distributed network-aware applications and services require the ability to compile and maintain a model of the underlying network resources with respect to one or more characteristic properties of interest. To be manageable, such models must be compact; and to be general-purpose, should enable a representation of properties along temporal, spatial, and measurement resolution dimensions. In this paper, we propose MINT—a general framework for the construction of such metric-induced models using end-to-end measurements. We present the basic theoretical underpinnings of MINT for a broad class of performance metrics, and describe PERISCOPE, a Linux embodiment of MINT constructions. We instantiate MINT and PERISCOPE for a specific metric of interest—namely, packet loss rates—and present results of simulations and Internet measurements that confirm the effectiveness and robustness of our constructions over a wide range of network conditions.
Azer Bestavros, John W. Byers, Khaled Harfoush
Added 15 Jul 2010
Updated 15 Jul 2010
Type Conference
Year 2002
Where INFOCOM
Authors Azer Bestavros, John W. Byers, Khaled Harfoush
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