PANDA (Predictive Adaptive Network Data Acceleration) models the complete data path from chunking to reconstruction to measure when network optimization is reliable and effective.
It compares chunking, cache references, deduplication, delta encoding, compression and Forward Error Correction (FEC) under reproducible seeded TCP/QUIC conditions.
Every run verifies end-to-end SHA-256 integrity and produces comparative engineering reports on bandwidth savings, latency and lossless recovery.