Towards simulating billions of agents in thousands of seconds

Authors:
I. V. Aprameya Rao;Manish Jain;Kamalakar Karlapalem
Affiliations:
International Institute of Information Technology, Hyderabad, India;International Institute of Information Technology, Hyderabad, India;International Institute of Information Technology, Hyderabad, India
Venue:
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Year:
2007

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Abstract

Building multiagent systems that can scale up to very large number of agents is a challenging research problem. In this paper, we present Distributed Multi Agent System Framework (DMASF), a system which can simulate billions of agents in thousands of seconds. DMASF utilizes distributed computation to gain performance as well as a database to manage the agent and environment state. We briefly present the design and implementation of DMASF and present experimental results. DMASF is a generic and versatile tool that can be used for building massive multi agent system applications.