Modeling Distributed Platforms from Application Traces for Realistic File Transfer Simulation

Abstract : Simulation is a fast, controlled, and reproducible way to evaluate new algorithms for distributed computing platforms in a variety of conditions. However, the realism of simulations is rarely assessed, which critically questions the applicability of a whole range of ndings. In this paper, we present our eorts to build platform models from application traces, to allow for the accurate simulation of le transfers across a distributed infrastructure. File transfers are key to performance, as the variability of le transfer times has important consequences on the dataow of the application. We present a methodology to build realistic platform models from application traces and provide a quantitative evaluation of the accuracy of the derived simulations. Results show that the proposed models are able to correctly capture real-life variability and signicantly outperform the state-of-the-art model.
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Communication dans un congrès
17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. , May 2017, Madrid, Spain. 2017, <https://www.arcos.inf.uc3m.es/wp/ccgrid2017/>
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Dernière modification le : lundi 19 juin 2017 - 15:39:02
Document(s) archivé(s) le : vendredi 5 mai 2017 - 11:39:32

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Anchen Chai, Mohammad-Mahdi Bazm, Sorina Camarasu-Pop, Tristan Glatard, Hugues Benoit-Cattin, et al.. Modeling Distributed Platforms from Application Traces for Realistic File Transfer Simulation. 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. , May 2017, Madrid, Spain. 2017, <https://www.arcos.inf.uc3m.es/wp/ccgrid2017/>. <hal-01452694>

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