Link test: download series (bulk sampled, warm bursts, paced) and burst-vs-idle; car results
Orin -> tablet over NCM: paced streams up to 4 MB/s are clean; unpaced bursts and bulk hit multi-second holds that inflate the RTO to 10-16 s. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01DDwfd6Ki8UfG4hK6W5YpJz
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@@ -25,7 +25,21 @@ for run_id, recs in runs.items():
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elif k in ("tcp_down", "tcp_up"):
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print(f" {k:8} {r['mb_s']:>6} MB/s over {r['secs']} s")
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elif k in ("tcp_down_orin", "tcp_up_orin"):
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print(f" {k:13} retrans {r.get('retrans')} rtt {r.get('rtt_ms')} ms rto {r.get('rto_ms')} ms {r.get('error', '')}")
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mode = r.get("mode", "")
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print(f" {k:13} {mode:6} retrans {r.get('retrans')} rtt {r.get('rtt_ms')} ms rto {r.get('rto_ms')} ms {r.get('error', '')}")
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elif k == "dl_bulk":
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print(f" bulk #{r['n']} {r['mb_s']:>5} MB/s over {r['secs']} s 250 ms windows: min {r['win_min_mb_s']} "
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f"p10 {r['win_p10_mb_s']} p50 {r['win_p50_mb_s']} max {r['win_max_mb_s']} zero {r['zero_windows']} "
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f"longest stall {r['max_gap_ms']} ms")
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elif k == "dl_bursts":
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print(f" bursts after {r.get('idle_ms', 1000)} ms idle, keepalive {r.get('keepalive_pps', 0)}/s:")
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for e in r["sizes"]:
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print(f" burst {e['bytes'] // 1024:>5} KB p50 {e['p50_ms']:>7} ms max {e['max_ms']:>7} ms "
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f"({e['mb_s_p50']} MB/s at p50) all {e['ms']}")
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elif k == "dl_paced":
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print(f" paced {r['rate'] / 1e6:>3} MB/s got {r['mb_s']:>5} MB/s frames {r['frames']}/{r['expected']} "
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f"queueing p50 {r['q_p50_ms']} p99 {r['q_p99_ms']} max {r['q_max_ms']} ms "
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f">100 ms {r['late_100']} >500 ms {r['late_500']}")
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elif k == "error":
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print(f" ERROR {r['error']}")
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elif k == "end":
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