Agent based simulation (ABS) is efficient for the simulation of objects whose mathematical modeling is not easy. There are many studies on ABS and several frameworks for ABS have already been published. However, there are few frameworks that can enable agent-based simulation using large numbers of agents. We have been developing a Java-based platform for Massive Agent-Based Simulation (MABS) called "Zillions of Agents-based Simulation Environment" or ZASE. The purpose of ZASE is to develop MABS applications on multiple general computers such as PCs or workstations where they are connected with a high performance but generally available network such as gigabit Ethernet. ZASE is designed to host over millions of agents. In this paper, we introduce ZASE and explain the fundamental capabilities for MABS provided by ZASE. We evaluated ZASE for the agent-based auction simulation where the number of agents varied from ten to a million. The results indicate that the number of agents affects the final bid prices and their distributions. Performance measurement results on both an SMP computer environment and a multiple-computer environment are shown. The results in the both cases were about 3.5 millions of times of that agents handle messages in a second. The scalability ratio on the SMP computer and the multiple-computers environment were 78% and 85% respectively. Those scalability ratios are such good values for the simulations. © 2008 Springer-Verlag Berlin Heidelberg.
Yamamoto, G., Tai, H., & Mizuta, H. (2008). A platform for massive agent-based simulation and its evaluation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5043 LNAI, pp. 1–12). https://doi.org/10.1007/978-3-540-85449-4_1