{"id":"W1976381927","doi":"10.1145/1842733.1842747","title":"Accurate offline synchronization of distributed traces using kernel-level events","year":2010,"lang":"en","type":"article","venue":"ACM SIGOPS Operating Systems Review","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Polytechnique Montréal; Defence Research and Development Canada","keywords":"Computer science; Tracing; Timestamp; Synchronization (alternating current); TRACE (psycholinguistics); Distributed computing; Kernel (algebra); Time synchronization; Real-time computing; Parallel computing; Algorithm; Computer network; Channel (broadcasting); Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001529184,0.0003204281,0.0008692039,0.00005733632,0.0002279988,0.0002122503,0.001729079,0.0001410139,0.00001680208],"category_scores_gemma":[0.001358962,0.0002630492,0.0001374865,0.0009247695,0.00004057053,0.000842687,0.0003025839,0.0002903701,0.00002856502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005643601,"about_ca_system_score_gemma":0.0002088398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002824737,"about_ca_topic_score_gemma":0.00001949741,"domain_scores_codex":[0.9967704,0.0003134659,0.001442753,0.0005618794,0.0005301106,0.0003813583],"domain_scores_gemma":[0.9966297,0.000159078,0.0008514545,0.001543435,0.0006810929,0.0001352463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003582402,0.002719875,0.04811863,0.1450741,0.001767139,0.0002984677,0.003420396,0.09361754,0.3077872,0.1183654,0.02771959,0.2510759],"study_design_scores_gemma":[0.001232133,0.0001442946,0.002933156,0.03234999,0.000148799,0.0005060121,0.00008593454,0.9381038,0.001558312,0.00007575763,0.02152569,0.001336101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04346211,0.04150423,0.9098304,0.0004483434,0.002315146,0.001750202,0.0003703735,0.0001972104,0.0001219986],"genre_scores_gemma":[0.9865558,0.001067873,0.01177908,0.00009517392,0.0001910329,0.00006263683,0.0001278197,0.00002500374,0.00009556414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9430937,"threshold_uncertainty_score":0.9999822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04547080925856184,"score_gpt":0.3157422685817634,"score_spread":0.2702714593232015,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}