Dynamic Adaptive Streaming Performance Optimization Framework

Create an advanced streaming performance optimization framework using Python that dynamically adjusts video delivery based on network conditions and user device capabilities. Implement a machine learning-driven adaptive bitrate algorithm using scikit-learn that can predict optimal streaming parameters in real-time. Develop a comprehensive network performance monitoring system with predictive buffering and automatic quality adjustment. Include detailed telemetry tracking and a configurable rules engine for different streaming scenarios.