Abstract
This paper presents the work done during the first year of the EPIS project. This project deals with the process of conductingmultiple and parallelmulti agents-based simulations (MABS) on a cluster or a grid in order to generate sufficient data for scientific use (e.g. in the case of a sensibility analysis of a simulation). We provide a new, general and user-friendly approach to marry MABS and High- Performance Computing (HPC). We, thus, propose a workflow and an associated HPC infrastructure. These two permit to easily deploy a lot of simulations on a cluster without any prior parallelizing work. The method wants to be as generic as possible: no particular MABS targeted, no overhead and HPC compliance work has to be done only once. Moreover the user is guided by a web interface that handles the workflow.
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Blanchart, E. et al. (2011). EPIS: A Grid Platform to Ease and Optimize Multi-agent Simulators Running. In: Demazeau, Y., Pěchoucěk, M., Corchado, J.M., Pérez, J.B. (eds) Advances on Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19875-5_17
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DOI: https://doi.org/10.1007/978-3-642-19875-5_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19874-8
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