Synchronization Policies Impact in Distributed Agent-Based Simulation

Omar Rihawi 1 Yann Secq 1 Philippe Mathieu 1
1 SMAC - Systèmes Multi-Agents et Comportements
LIFL - Laboratoire d'Informatique Fondamentale de Lille
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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Communication dans un congrès
Omatu, Sigeru and Neves, José and Rodriguez, Juan M. Corchado and Paz Santana, Juan F and Gonzalez, Sara Rodríguez. Distributed Computing and Artificial Intelligence (DCAI 2013), May 2013, SALAMANQUE, Spain. Springer International Publishing, 217, pp.19 - 26, 2013, Advances in Intelligent Systems and Computing. 〈http://dcai.usal.es/dcai2013/〉. 〈10.1007/978-3-319-00551-5_3〉
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Omar Rihawi, Yann Secq, Philippe Mathieu. Synchronization Policies Impact in Distributed Agent-Based Simulation. Omatu, Sigeru and Neves, José and Rodriguez, Juan M. Corchado and Paz Santana, Juan F and Gonzalez, Sara Rodríguez. Distributed Computing and Artificial Intelligence (DCAI 2013), May 2013, SALAMANQUE, Spain. Springer International Publishing, 217, pp.19 - 26, 2013, Advances in Intelligent Systems and Computing. 〈http://dcai.usal.es/dcai2013/〉. 〈10.1007/978-3-319-00551-5_3〉. 〈hal-01115927〉

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