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Synchronization Policies Impact in Distributed Agent-Based Simulation

Omar Rihawi 1 Yann Secq 1 Philippe Mathieu 1 
1 SMAC - Systèmes Multi-Agents et Comportements
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : When agents and interactions grow in a situated agent-based simulations, requirements in memory or computation power increase also. To be able to tackle simulation with millions of agents, distributing the simulator on a computer net-work is promising but raises issues related to time consistency and synchronization between machines. This paper study the cost in performances of several synchro-nization policies and their impact on macroscopic properties of simulations. To that aims, we study three different time management mechanisms and evaluate them on two multi-agent applications.
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Submitted on : Thursday, February 12, 2015 - 10:37:57 AM
Last modification on : Wednesday, March 23, 2022 - 3:51:03 PM
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Omar Rihawi, Yann Secq, Philippe Mathieu. Synchronization Policies Impact in Distributed Agent-Based Simulation. Distributed Computing and Artificial Intelligence (DCAI 2013), May 2013, SALAMANQUE, Spain. pp.19 - 26, ⟨10.1007/978-3-319-00551-5_3⟩. ⟨hal-01115927⟩



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