Agent Based Simulation as an Efficient Way for HPC I/O System Tuning
Encinas, Diego (Universidad Nacional de La Plata)
Naiouf, Marcelo (Universidad Nacional de La Plata)
De Giusti, Armando (Universidad Nacional de La Plata)
Bond, Roman (Universidad Nacional Arturo Jauretche)
Méndez, Sandra Adriana (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius)
Rexachs del Rosario, Dolores Isabel (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius)
Luque, Emilio (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius)

Imprint:	Springer Cham, 2024
Abstract:	Generally, evaluating the performance offered by an HPC I/O system with different configurations and the same application allows selecting the best settings. This paper proposes to use agent-based modeling and simulation (ABMS) to evaluate the performance of the I/O software stack to allow researchers to choose the best possible configuration without testing the real system. Testing configurations in a simulated environment minimizes the risk of disrupting real systems. In particular, this paper analyzes the communication layer of an HPC I/O system, more specifically the communication layer of the parallel file system (PVFS2). ABMS has been selected because it enables a rapid change in the level of analysis for modeling and implementing a simulator. It can focus on both macro- and micro-levels (how the aggregate behavior of system agents is born and analyzing their individual behavior).
Grants:	Agencia Estatal de Investigación PID2020-112496GB-I00
Note:	Altres ajuts: this research has been partially funded by the Fundacion Escuelas Universitarias Gimbernat (EUG).
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Language:	Anglès
Series:	Lecture notes in computer science ; 14834
Document:	Capítol de llibre ; recerca ; Versió acceptada per publicar
Subject:	Agent-Based Modeling and Simulation (ABMS) ; HPC I/O System ; Parallel File System
Published in:	Computational Science - ICCS 2024. 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part III, 2024, p. 129-136, ISBN 978-3-031-63759-9

DOI: 10.1007/978-3-031-63759-9_16

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