{"id":"W2069919236","doi":"10.1145/2185395.2185398","title":"Sharp utilization thresholds for some realtime scheduling problems","year":2012,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Aperiodic graph; Workload; Scheduling (production processes); Power consumption; Schedule; Real-time computing; Context switch; Distributed computing; Embedded system; Power (physics); Mathematical optimization; Operating system; Mathematics","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":[0.003076634,0.000807417,0.0009861571,0.001834624,0.0006808174,0.002551368,0.000859147,0.001252095,0.00174976],"category_scores_gemma":[0.025945,0.0005631609,0.0007912242,0.001525675,0.001719652,0.002746213,0.001276293,0.002489812,0.0002447606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620777,"about_ca_system_score_gemma":0.000813274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00127994,"about_ca_topic_score_gemma":0.0004667486,"domain_scores_codex":[0.9978498,0.000586974,0.0002170249,0.0003737113,0.0006332326,0.0003393517],"domain_scores_gemma":[0.979002,0.0171145,0.001953001,0.0006034502,0.0007166165,0.0006104866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005354233,0.0002813275,0.008791676,0.0008311539,0.0001485946,0.001230919,0.00106861,0.267352,0.0124385,0.6123157,0.006164322,0.08884186],"study_design_scores_gemma":[0.0000567128,0.0001538138,0.002087392,0.00009399372,0.00002551752,0.0004400969,0.0001938135,0.5347512,0.002720335,0.4566347,0.002796753,0.00004566102],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2592207,0.008332075,0.7072117,0.003841957,0.0002005595,0.0002278481,0.0004276522,0.001440699,0.01909684],"genre_scores_gemma":[0.9276052,0.001478007,0.06783254,0.0003978487,0.0002685981,0.0002237799,0.0002527163,0.0001240101,0.001817403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003076634,"threshold_uncertainty_score":0.01627094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2117957622850598,"score_gpt":0.3839978270312978,"score_spread":0.1722020647462379,"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."}}