Agent-based simulation of dynamic online auctions
Proceedings of the 32nd conference on Winter simulation
Efficient agent-based simulation framework for multi-node supercomputers
Proceedings of the 38th conference on Winter simulation
Agent server technology for managing millions of agents
MMAS'04 Proceedings of the First international conference on Massively Multi-Agent Systems
Community-Based Load Balancing for Massively Multi-Agent Systems
Massively Multi-Agent Technology
Infrastructures and tools for multiagent systems for the new generation of distributed systems
Engineering Applications of Artificial Intelligence
X10-based massive parallel large-scale traffic flow simulation
Proceedings of the 2012 ACM SIGPLAN X10 Workshop
DS-RT '12 Proceedings of the 2012 IEEE/ACM 16th International Symposium on Distributed Simulation and Real Time Applications
Large-scale traffic simualtion for low-carbon city
Proceedings of the Winter Simulation Conference
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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 computers. ZASE is designed to host over millions of agents. We introduce ZASE in this paper. 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.