A Web-Based Parallel and Distributed Execution System for Competitive Agent Simulators

Abstract

In recent years, it has become possible to acquire high-precision data even in team sports such as soccer, enabling detailed analysis of players and tactics. However, real-world data collection still faces challenges such as environmental variability and a lack of reproducibility, limiting systematic data acquisition. As an alternative, computer simulations can provide reliable data by repeating matches under controlled and uniform conditions. In this study, we develop a web-based parallel and distributed execution system for efficient large-scale simulation of soccer games. The system adopts a server–client model implemented using Flask, where tasks can be registered and visualized via a web browser. Each client executes simulation tasks assigned by the server and returns the results. This system enables efficient, large-scale experiments and is also applicable to other competitive agent-based simulators.