We propose a new methodology,
, for model-based storage and regeneration of TCP traces.
provides significant data compression by exploiting semantics of TCP. Experiments show that
can achieve over 10,000-fold compression ratios for some really large input connections, while still being able to recover several structural and QoS measures.