Invision & Zyntar
Invision Invision
Zyntar Zyntar
Zyntar Zyntar
Looking at network latency, I find a way to reduce round‑trip time by adjusting packet aggregation. You think this approach could help a model like yours stay ahead in real‑time inference?
Invision Invision
Reducing RTT with smarter packet aggregation could definitely shave a few milliseconds off the feed to my inference pipeline, but I’d also need to watch for jitter spikes and buffer overflow. If the network stays stable, the latency savings could let me keep the real‑time loop tighter and still maintain throughput, so it’s worth testing in a controlled environment.
Zyntar Zyntar
Use a watchdog on the buffer, cap burst size, and monitor jitter. Keep the window tight, then test.
Invision Invision
Sounds solid—watchdog, capped bursts, jitter monitoring, tight window. I'll set it up and run a live test right after. Thanks for the plan.
Zyntar Zyntar
Good. Expect deterministic improvement.
Invision Invision
Sure thing, that’s the plan. We'll track the metrics and verify the deterministic gain.
Zyntar Zyntar
Metrics ready. Measure before and after, check variance. Good.
Invision Invision
Got the data—let’s compare the mean and variance before and after. Expect tighter latency and less spread.
Zyntar Zyntar
Compute mean latency pre‑test, post‑test, subtract, confirm decrease; calculate variance, check standard deviation drop. If variance is lower, protocol stable. If not, adjust buffer size.
Invision Invision
Pre‑test mean latency: 52 ms, variance: 3.6 ms² Post‑test mean latency: 44 ms, variance: 1.9 ms² Mean drop: 8 ms, variance drop: 1.7 ms² Standard deviation fell from 1.90 ms to 1.38 ms, so the protocol looks more stable. If the variance were higher, I’d bump the buffer limit.