Distributed Simulation Framework for Complex Systems

Develop a high-performance simulation framework capable of modeling complex scientific systems with dynamic computational load balancing. The system should support agent-based modeling, stochastic simulation algorithms, and provide transparent scaling across heterogeneous computing environments. Implement adaptive sampling strategies, support for probabilistic models, and include comprehensive logging and reproducibility mechanisms. Design the architecture to handle computational physics, ecological modeling, and epidemiological simulations with minimal configuration overhead.