{"id":"W2946132891","doi":"10.1145/3323933.3324085","title":"System performance anomaly detection using tracing data analysis","year":2019,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Anomaly detection; Tracing; System call; Sliding window protocol; Reliability (semiconductor); Real-time computing; Anomaly (physics); Data mining; Data stream mining; Window (computing); Support vector machine; Distributed computing; Artificial intelligence; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001381008,0.001226444,0.0009580152,0.00655945,0.0004889962,0.001423712,0.001123859,0.0006049999,0.0005146884],"category_scores_gemma":[0.00769019,0.0002854994,0.0005670675,0.003956383,0.0003732918,0.001281922,0.0007866076,0.0008854779,0.0004333073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007977764,"about_ca_system_score_gemma":0.001041167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004882342,"about_ca_topic_score_gemma":0.004062057,"domain_scores_codex":[0.9974645,0.0002896058,0.0002721305,0.0007127618,0.001088457,0.0001724342],"domain_scores_gemma":[0.9947526,0.001611457,0.001202231,0.0008905103,0.001351574,0.0001915558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006678274,0.0005616422,0.176533,0.0004836204,0.0003610794,0.0009246792,0.0009273033,0.09526768,0.05420224,0.003231792,0.006886675,0.6599524],"study_design_scores_gemma":[0.00001885826,0.0001926484,0.03788036,0.00003858928,0.00006822292,0.0005789836,0.0001864806,0.9200383,0.03077229,0.004446375,0.005719019,0.00005992972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3800437,0.001002952,0.5869766,0.0003666092,0.0001173696,0.0003113717,0.003546445,0.02530623,0.002328679],"genre_scores_gemma":[0.8764246,0.0003379325,0.1175827,0.00004761993,0.00004901866,0.0001689452,0.004139594,0.0002392436,0.001010374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00655945,"threshold_uncertainty_score":0.009707808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02635269148997074,"score_gpt":0.2365895035806642,"score_spread":0.2102368120906935,"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."}}