{"id":"W4411403262","doi":"10.1145/3725319","title":"Low-Latency Transaction Scheduling via Userspace Interrupts: Why Wait or Yield When You Can Preempt?","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ACM on Management of Data","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Universitas Brawijaya","keywords":"Computer science; Preemption; Context switch; Scheduling (production processes); Database transaction; Latency (audio); Operating system; Parallel computing; Embedded system; Distributed computing; Database","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":[0.003160573,0.0004478312,0.0004877634,0.0003399819,0.0007214118,0.002782672,0.002260931,0.0007344066,0.00115912],"category_scores_gemma":[0.009897531,0.0004427385,0.000267209,0.0005724852,0.0008800514,0.003343276,0.001074112,0.001824372,0.0006112628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007631886,"about_ca_system_score_gemma":0.001581981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002805056,"about_ca_topic_score_gemma":0.004081802,"domain_scores_codex":[0.9977167,0.0003672025,0.0001465061,0.0003071519,0.001124831,0.0003376394],"domain_scores_gemma":[0.9944144,0.001759774,0.0007267229,0.001672153,0.00089389,0.0005330122],"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":[0.003451281,0.000825295,0.04657723,0.0008608284,0.000242588,0.0008984035,0.002456892,0.02664104,0.1228898,0.0583507,0.0246965,0.7121093],"study_design_scores_gemma":[0.0006376706,0.002488514,0.01984961,0.0004905466,0.0005121358,0.003247761,0.002234732,0.4783119,0.2509798,0.07648045,0.1644333,0.0003335829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4052021,0.0164054,0.5485639,0.00541003,0.001255371,0.0002046324,0.0002120507,0.01037788,0.01236854],"genre_scores_gemma":[0.9242613,0.001811578,0.06920459,0.0009070029,0.0002160001,0.00004700834,0.0001131737,0.0004905087,0.0029489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003160573,"threshold_uncertainty_score":0.01671487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05149839268555786,"score_gpt":0.2853484248596599,"score_spread":0.2338500321741021,"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."}}