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Assessing the Quality of Automatically Built Network Representations

Lionel Eyraud-Dubois 1 Martin Quinson 2
1 CEPAGE - Algorithmics for computationally intensive applications over wide scale distributed platforms
INRIA Futurs, École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), CNRS - Centre National de la Recherche Scientifique : UMR5800
2 ALGORILLE - Algorithms for the Grid
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In order to efficiently use Grid resources, users or middlewares must use some network information, and in particular some knowledge of the platform network. As such knowledge is usually not available, one must use tools which automatically build a topological network model through some measurements. Our aim is to define a methodology to assess the quality of these network model building tools, and to apply this methodology to representatives of the main classes of model builders. Using this approach, we show that none of the main existing techniques build models that enable to accurately predict the running time of simple application kernels for actual platforms.
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Submitted on : Friday, November 16, 2007 - 4:46:36 PM
Last modification on : Friday, February 26, 2021 - 3:28:02 PM
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Lionel Eyraud-Dubois, Martin Quinson. Assessing the Quality of Automatically Built Network Representations. Workshop on Programming Models for Grid Computing - organized at IEEE/ACM International Symposium on Cluster Computing and the Grid - CCGrid 2007, May 2007, Rio de Janeiro, Brazil. pp.795 - 800, ⟨10.1109/CCGRID.2007.25⟩. ⟨inria-00188408⟩

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