caa a22 4500 445851791 CHVBK 20180317145415.0 cr unu---uuuuu 170323e20111101xx s 000 0 eng 10.1007/s11227-009-0375-5 doi (NATIONALLICENCE)springer-10.1007/s11227-009-0375-5 Workload balancing in distributed crowd simulations: the partitioning method [Elektronische Daten] [Guillermo Vigueras, Miguel Lozano, Juan Orduña] The simulation of large crowds of autonomous agents with a realistic behavior is still a challenge for several computer research communities. Distributed architectures can provide scalability to crowd simulations, but they require the use of efficient partitioning methods. Although convex hulls have been shown as very efficient structures for crowd partitioning, providing efficient workload balancing to large scale simulations is still an open issue. In this paper, we propose the integration of a workload balancing technique for crowd simulations within a partitioning method based on convex hulls. The region-based balancing technique reassigns agents to servers using a criterion of distance. The performance evaluation results show that this technique ensures the saturation avoidance of the servers in an homogeneous distributed system. This feature can increase the scalability of crowd simulations. Springer Science+Business Media, LLC, 2009 Distributed crowd simulations nationallicence Workload balancing nationallicence Vigueras Guillermo Departmento de Informática, Universidad de Valencia, Valencia, Spain aut Lozano Miguel Departmento de Informática, Universidad de Valencia, Valencia, Spain aut Orduña Juan Departmento de Informática, Universidad de Valencia, Valencia, Spain aut The Journal of Supercomputing Springer US; http://www.springer-ny.com 58/2(2011-11-01), 261-269 0920-8542 58:2<261 2011 58 11227 https://doi.org/10.1007/s11227-009-0375-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11227-009-0375-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Vigueras Guillermo Departmento de Informática, Universidad de Valencia, Valencia, Spain aut NATIONALLICENCE 700 1- Lozano Miguel Departmento de Informática, Universidad de Valencia, Valencia, Spain aut NATIONALLICENCE 700 1- Orduña Juan Departmento de Informática, Universidad de Valencia, Valencia, Spain aut NATIONALLICENCE 773 0- The Journal of Supercomputing Springer US; http://www.springer-ny.com 58/2(2011-11-01), 261-269 0920-8542 58:2<261 2011 58 11227 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer