Towards Simulating Billions of Agents in Thousands of Seconds I.V. Aprameya Rao Centre for Data Engineering, International Institute of Information Technology, Hyderabad, INDIA Manish Jain Centre for Data Engineering, International Institute of Information Technology, Hyderabad, INDIA Kamalakar Karlapalem Centre for Data Engineering, International Institute of Information Technology, Hyderabad, INDIA ABSTRACT

Building multi-agent 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.

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