{"id":"W2006638148","doi":"10.1145/1186778.1186780","title":"Reactive provisioning of backend databases in shared dynamic content server clusters","year":2006,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Provisioning; Distributed computing; Resource allocation; Replication (statistics); High availability; Context (archaeology); Replica; Fault tolerance; Benchmark (surveying); Server; Database; Transaction processing; Computer network; Database transaction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002534779,0.0002071266,0.0003826099,0.0001789237,0.0001211957,0.00009708061,0.0003794286,0.00005283497,0.000003834357],"category_scores_gemma":[0.000009087006,0.0001838298,0.00007438425,0.0003130931,0.00006114401,0.0006433019,0.00002359583,0.0001713737,0.000006153413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001468656,"about_ca_system_score_gemma":0.00007539167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006498119,"about_ca_topic_score_gemma":0.0009817376,"domain_scores_codex":[0.9983698,0.0001098413,0.0005367496,0.0004959307,0.0002251568,0.0002625888],"domain_scores_gemma":[0.9988685,0.0001430027,0.0002254657,0.0005898388,0.0001087027,0.00006445288],"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":[0.001468919,0.007535336,0.009536872,0.002371921,0.00128557,0.0006416585,0.01219727,0.4096344,0.03799865,0.2256567,0.0009411264,0.2907315],"study_design_scores_gemma":[0.005617175,0.0009791015,0.06876677,0.003134199,0.00006411054,0.0001936676,0.005840919,0.9044337,0.002542058,0.000470848,0.006489177,0.001468292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09618451,0.0005905965,0.9009749,0.0001702539,0.0004053979,0.0007065212,0.0003856968,0.00008265056,0.00049952],"genre_scores_gemma":[0.9960707,0.00001055127,0.003311828,0.00001746874,0.00001302667,0.00007286685,0.00002305494,0.00001203324,0.0004684724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8998862,"threshold_uncertainty_score":0.9823256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455533401892498,"score_gpt":0.247858828326697,"score_spread":0.213303494307772,"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."}}