{"id":"W2461433156","doi":"10.1109/noms.2016.7502857","title":"Automated anomaly detection and root cause analysis in virtualized cloud infrastructures","year":2016,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cloud computing; Anomaly detection; Computer science; Root cause analysis; Root (linguistics); Anomaly (physics); Operating system; Data mining; Reliability engineering; Engineering","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":[0.001793385,0.0006442972,0.0007036542,0.001922535,0.0007102143,0.001033106,0.001431579,0.0007350396,0.0003807523],"category_scores_gemma":[0.00790163,0.0003445951,0.0005150833,0.0009869693,0.0008850654,0.001190854,0.001139207,0.0008534465,0.0001218177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050974,"about_ca_system_score_gemma":0.001520049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004013283,"about_ca_topic_score_gemma":0.004091216,"domain_scores_codex":[0.9975042,0.0007501165,0.0001492068,0.0005254123,0.0008379704,0.0002330663],"domain_scores_gemma":[0.9937031,0.003003173,0.001262327,0.0009641596,0.0008854126,0.0001819557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003715519,0.0004945779,0.04011419,0.0001413311,0.0001867923,0.0007139081,0.0005617473,0.5451955,0.06718854,0.01025062,0.002303458,0.3324778],"study_design_scores_gemma":[0.0000070051,0.00003105136,0.002049979,0.00000314657,0.000009132366,0.00007760498,0.00003468247,0.9871116,0.007736066,0.002669229,0.0002613439,0.000009051245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2053936,0.0001482108,0.7894205,0.0002644919,0.00002780226,0.00008788506,0.00008587254,0.004101349,0.0004703195],"genre_scores_gemma":[0.8365806,0.00005732071,0.1628418,0.00003331517,0.00001827133,0.00003972834,0.00009884957,0.00005586476,0.0002742147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004013283,"threshold_uncertainty_score":0.00948441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007012508799724267,"score_gpt":0.2512590044370706,"score_spread":0.2442464956373464,"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."}}