Phase 13 Milestone 1 - DAGKnight Protocol Implementation: - Add LatencyTracker for network propagation delay measurement - Rolling statistics (mean, stddev, P95, P99) - Anticone growth rate tracking - Configurable sample window (1000 samples) - Implement DagKnightManager extending GHOSTDAG - Adaptive k parameter based on observed network latency - Probabilistic confirmation time estimation - Confidence levels (Low/Medium/High/VeryHigh) - ConfirmationStatus with depth and finality tracking - Add BlockRateConfig for throughput scaling - Standard: 10 BPS (100ms block time) - current - Enhanced: 32 BPS (31ms block time) - target - Maximum: 100 BPS (10ms block time) - stretch goal - Auto-adjusted merge/finality/pruning depths per config - Utility functions for network analysis - calculate_optimal_k() for k parameter optimization - estimate_throughput() for TPS projection Based on DAGKnight paper (2022) and Kaspa 2025 roadmap. |
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| Cargo.toml | ||