A cloud-based visualization interface for gama to simplify the simulation of complex socio-environmental systems

Abstract

This paper presents a novel cloud-based architecture for multi-agent simulations, built on top of the GAMA platform, to address computational limitations of the traditional desktop-based version. We propose a distributed system leveraging the cloud computing model, pub/sub messaging, and containerized deployment to enable scalable, parallel execution of complex socio-environmental simulations, especially for pig farming. Experimental results demonstrate significant performance improvements, with the system supporting concurrent simulations across multiple worker nodes. The solution reduces infrastructure costs by 40% compared to physical implementation while providing researchers with an accessible web interface for scenario execution. This work establishes a reusable framework for cloud-based agent-based modeling, with particular applicability to smart agriculture and epidemic management. Keywords: Multi-agent modeling and simulation, cloud computing, GAMA platform, distributed systems