{ "schema_version": 2, "config_sha256": "9ebb9245d33d3f89fe0a21bdb8cfd432a3718f31fcf1eac7b6fb2e64776750b5", "instrument_commit": "bce0628868ca6c4a231a5b398c169aaf586ac8a8", "caveat": "CAVEAT: one vLLM replica on one GPU, killed and restarted in place; no two-replica or Kubernetes claim. N=5 runs on rented hardware; the acceptance criteria (§8) certified the instrument against the mock; injected-fault-versus-reality gaps are named in the report.", "conditional_headline": "Under process_kill fault injection (single-replica process kill, restart in place): 100.0% of in-flight requests failed and 0.0% timed out at 30 s (25 in flight on the only replica at fire, 25 of them indeterminate); of the 144 requests scheduled in the 41.7 s outage, 1 completed, 143 errored and 0 were censored; the replica served again 41.7 s after the kill (replica_ready); decomposed segments: container_start 0.69s, log_bringup 28.67s, engine_init 22.72s, weight_load 3.33s, torch_compile 0.88s, profile_kv_capture 5.76s, engine_ready 39.64s, server_ready 41.35s, replica_ready 41.69s, goodput_restored 40.96s; recovery to the pre-fault baseline: 41.0 s; goodput deficit 39.0 goodput-seconds vs pre-fault. One replica on one GPU; no two-replica or Kubernetes claim.", "validity_gates": { "gates": [ { "id": "G1", "name": "per-replica share 45-55% pre-fault", "applicable": false, "observed": true, "pass": true, "label_determining": false, "detail": "single-replica target: share gate not applicable" }, { "id": "G2", "name": "client-validity gate clean", "applicable": true, "observed": true, "pass": true, "label_determining": false, "detail": "skew p99=16us/max=106us; undispatched=0; cpu_measured=true worst=3.1%; gc pause p99 in [0.393, 0.459) ms, runtime bucket edges, gate on the upper edge" }, { "id": "G3", "name": "zero errored outcomes among victim-attributed in-flight requests", "applicable": false, "observed": true, "pass": true, "label_determining": true, "detail": "not the black-hole variant: client-silence assertion not applicable" }, { "id": "G4", "name": "endpoint-staleness window \u003e= 20s with victim-bound traffic observed", "applicable": false, "observed": true, "pass": true, "label_determining": true, "detail": "not the black-hole variant: staleness assertion not applicable" }, { "id": "G5", "name": "GPU clock/power fingerprints equal across replicas and runs", "applicable": false, "observed": false, "pass": false, "label_determining": false, "detail": "fingerprints are not fed into the gate; percentes-campaign writes them per run under process kill; reported not applicable" }, { "id": "G6", "name": "baseline goodput \u003e= 0.99", "applicable": true, "observed": true, "pass": true, "label_determining": false, "detail": "baseline goodput 1.0000 (pinned minimum 0.99, §10 G6; below it the load calibration is wrong and is redone)" }, { "id": "G7", "name": "baseline queue stability: per-replica waiting-queue mean \u003c= 1.0", "applicable": true, "observed": true, "pass": true, "label_determining": false, "detail": "vllm:num_requests_waiting baseline means r0=0.000/n270, sampled every 1 s, 270 expected (pinned maximum 1.0, §10 G7; 41 scrape errors)" } ], "all_pass": true, "variant": "process_kill", "node_loss_representative": false }, "config": { "schema_version": 1, "profile": "experiment", "run": { "name": "percentes-process-kill", "seed": 43, "repetitions": 5, "phases": { "warmup_s": 60, "baseline_s": 300, "fault_window_timeout_s": 600, "cooldown_s": 60 } }, "load": { "rate_rps": 3.12, "arrival_process": "poisson", "input_length_tokens": 512, "max_tokens": 256, "ignore_eos": true, "unique_prefixes": true, "connections": 4 }, "client": { "http_timeout_s": 30, "retries": 0, "placement": { "dedicated_node": true, "node_class": "non-spot", "zone": "CANADA-1", "subnet": "10.0.0.0/24", "record_rtt": true } }, "slo": { "ttft_ms": 1000, "e2e_ms": 14000, "sweep": { "ttft_ms": [ 800, 1000, 1500 ], "e2e_ms": [ 12000, 14000, 18000 ] } }, "histogram": { "unit": "us", "lowest_discernible_value": 1, "highest_trackable_value": 600000000, "significant_figures": 3 }, "recovery_detector": { "window_s": 10, "entry_pct": 90, "exit_pct": 85, "hold_s": 30, "sensitivity": { "entry_pct": [ 85, 90, 95 ], "window_s": [ 5, 10, 20 ], "hold_s": [ 15, 30, 60 ] } }, "client_validity": { "send_skew_p99_ms": 5, "send_skew_max_ms": 50, "max_cpu_pct": 70, "cpu_window_s": 5, "go_gc_pause_p99_ms": 1 }, "share_gate": { "min_pct": 45, "max_pct": 55 }, "target": { "base_url": "http://10.0.0.249:8000", "replicas": 1, "model_name": "Qwen/Qwen2.5-7B-Instruct", "hosted": false, "api_key_env": "", "metrics_urls": [ "http://10.0.0.249:8000/metrics" ], "queue_gauge": "vllm:num_requests_waiting" }, "fault": { "variant": "process_kill", "t_inject_offset_s": 300, "injection_tolerance_ms": 500, "endpoint_staleness_min_s": 20 }, "pins": { "vllm": { "version": "0.29.0", "image_digest": "vllm/vllm-openai@sha256:7ef5a35d1ef8ce2cf9d671dd91eec6e367c5849262e0362b4d3d4a26be0d87d2" }, "model": { "name": "Qwen/Qwen2.5-7B-Instruct", "revision": "a09a35458c702b33eeacc393d103063234e8bc28", "quantization": "none" }, "engine": { "kv_cache_gb": 16, "max_num_seqs": 256, "scheduler_settings": "max_num_seqs 256, max_num_batched_tokens 2048, chunked prefill on, policy fcfs, async scheduling on, cudagraph modes PIECEWISE and FULL (/server_info, 15 Sep 2026)", "chunked_prefill": "on", "cuda_graphs": "on", "prefix_caching": "off", "continuous_batching": "on" }, "gpu": { "sku": "NVIDIA L40", "driver": "570.195.03", "cuda": "12.9 in the container (torch.version.cuda) on host driver 570.195.03 (CUDA 12.8 driver API)", "cudnn": "9.20.0 (torch.backends.cudnn.version 92000)", "nccl": "2.29.7", "clock_power_policy": "persistence on, clocks at driver default, power limit 300 W of 300 W, not settable in guest" }, "kubernetes": { "version": "none", "cni": "none", "dataplane_mode": "none", "kube_proxy_mode": "none", "node_monitor_grace_period_s": 0 }, "readiness_probe": { "path": "none", "period_s": 0, "timeout_s": 0, "failure_threshold": 0 }, "storage": { "weights_medium": "root block volume vda (virtio, 100 GB), Hugging Face cache under /home/ubuntu/.cache/huggingface" }, "container": { "runtime": "docker (server version recorded in run-N-fingerprint-*.txt)", "restart_policy": "on-failure", "name": "vllm", "compile_cache": "container writable layer, /root/.cache/vllm/torch_compile_cache", "hf_hub_offline": "unset" } }, "calibration": { "lambda_max_rps": 4.8, "lambda_r_rps": 3.12, "trace_sha256": "20c4a167e928826077ad2170c9ccaca46d48a9ad46eb26c21666485be5acce80" } }, "loadgen": { "epoch_wall": "2026-10-02T16:26:40.008492561Z", "requests": [ { "index": 0, "intended_ns": 31191963, "dispatch_ns": 31192116, "first_token_ns": 105568528, "done_ns": 6334656936, "outcome": "completed", "tokens": 252, "completion_tokens": 256, "usage_seen": true }, { "index": 1, "intended_ns": 163326429, "dispatch_ns": 163331305, "first_token_ns": 262651567, "done_ns": 6455194900, "outcome": "completed", "tokens": 247, "completion_tokens": 256, "usage_seen": true }, { "index": 2, "intended_ns": 644182049, "dispatch_ns": 644182187, 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kernel_config=KernelConfig(ir_op_priority=IrOpPriorityConfig(rms_norm=['native'], fused_add_rms_norm=['native']), enable_flashinfer_autotune=True, enable_cutedsl_warmup=True, enable_jit_warmup=True, enable_bf16x3_router_gemm=False, moe_backend='auto', linear_backend='auto')" }, "engine_ready": { "key": "engine_ready", "line": 71, "at": "2026-10-02T16:33:19.697208506Z", "stamp": "docker", "resolution_ns": 1, "figures": { "init_engine_compilation_s": 0.18, "init_engine_s": 8.17 }, "text": "2026-10-02T16:33:19.697208506Z (EngineCore pid=72) INFO 10-02 16:33:19 [core.py:361] init engine (profile, create kv cache, warmup model) took 8.17 s (compilation: 0.18 s)" }, "graph_capture": { "key": "graph_capture", "line": 68, "at": "2026-10-02T16:33:18.154409149Z", "stamp": "docker", "resolution_ns": 1, "figures": { "graph_capture_gib": 0.52, "graph_capture_s": 5 }, "text": "2026-10-02T16:33:18.154409149Z (EngineCore pid=72) INFO 10-02 16:33:18 [model_runner.py:960] Graph capturing finished in 5 secs, took 0.52 GiB" }, "model_load_start": { "key": "model_load_start", "line": 42, "at": "2026-10-02T16:33:07.384628271Z", "stamp": "docker", "resolution_ns": 1, "text": "2026-10-02T16:33:07.384628271Z (EngineCore pid=72) INFO 10-02 16:33:07 [model_runner.py:382] Loading model from scratch..." }, "model_loaded": { "key": "model_loaded", "line": 55, "at": "2026-10-02T16:33:11.516354961Z", "stamp": "docker", "resolution_ns": 1, "figures": { "model_loaded_gib": 14.29, "model_loaded_s": 4.807834 }, "text": "2026-10-02T16:33:11.516354961Z (EngineCore pid=72) INFO 10-02 16:33:11 [model_runner.py:404] Model loading took 14.29 GiB memory and 4.807834 seconds" }, "server_start": { "key": "server_start", "line": 78, "at": "2026-10-02T16:33:21.068731247Z", "stamp": "docker", "resolution_ns": 1, "text": "2026-10-02T16:33:21.068731247Z (APIServer pid=1) INFO 10-02 16:33:21 [entry.py:139] Starting vLLM server on http://0.0.0.0:8000" }, "startup_complete": { "key": "startup_complete", "line": 133, "at": "2026-10-02T16:33:21.412973257Z", "stamp": "docker", "resolution_ns": 1, "text": "2026-10-02T16:33:21.412973257Z (APIServer pid=1) INFO: Application startup complete." }, "torch_compile": { "key": "torch_compile", "line": 60, "at": "2026-10-02T16:33:12.397939599Z", "stamp": "docker", "resolution_ns": 1, "figures": { "torch_compile_s": 0.18 }, "text": "2026-10-02T16:33:12.397939599Z (EngineCore pid=72) INFO 10-02 16:33:12 [monitor.py:53] torch.compile took 0.18 s in total" }, "weights_loaded": { "key": "weights_loaded", "line": 54, "at": "2026-10-02T16:33:10.714670679Z", "stamp": "docker", "resolution_ns": 1, "figures": { "weights_loaded_s": 2.81 }, "text": "2026-10-02T16:33:10.714670679Z (EngineCore pid=72) INFO 10-02 16:33:10 [default_loader.py:430] Loading weights took 2.81 seconds" } }, "lines": 2704 }, "log_path": "results/pk-20261002T1609Z/run-2-server.log", "log_bytes": 340917, "fingerprint_before_path": "results/pk-20261002T1609Z/run-2-fingerprint-before.txt", "fingerprint_after_path": "results/pk-20261002T1609Z/run-2-fingerprint-after.txt" }, "run_valid": true }