Adaptive Network Traffic Simulation Framework

Design a high-fidelity network traffic simulation platform that can generate complex, realistic traffic patterns for distributed system testing. Create a domain-specific language for defining traffic scenarios, implement machine learning-driven traffic generation, and develop a distributed simulation engine that can model complex network interactions. Include advanced statistical modeling and anomaly detection capabilities.