{"id":"W2162312647","doi":"10.1109/dsn.2007.86","title":"Scaling and Continuous Availability in Database Server Clusters through Multiversion Replication","year":2007,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Benchmark (surveying); Database server; Replication (statistics); Database; Node (physics); Workload; Throughput; Control reconfiguration; Database tuning; Operating system; Middleware (distributed applications); Embedded system; Database design; View","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":[0.002582778,0.0004976445,0.0007411763,0.0007181646,0.001118045,0.001687746,0.002228362,0.0007181471,0.0008808727],"category_scores_gemma":[0.008038205,0.0005156745,0.0003862398,0.0009063373,0.001230483,0.002887792,0.002031177,0.0007990462,0.0003424377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000860922,"about_ca_system_score_gemma":0.0006844113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00220516,"about_ca_topic_score_gemma":0.001354576,"domain_scores_codex":[0.9979537,0.0005980251,0.000122487,0.0003951104,0.0006369922,0.0002936924],"domain_scores_gemma":[0.9939551,0.002664154,0.0005772521,0.001740037,0.0007476455,0.0003158017],"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":[0.001041548,0.0003345742,0.01525285,0.0003942864,0.0002070291,0.0006977219,0.002382362,0.6102191,0.08525743,0.04779648,0.004560302,0.2318563],"study_design_scores_gemma":[0.00009618724,0.0002930705,0.001830184,0.00001836475,0.00006696788,0.0004078403,0.0004833352,0.9643341,0.013773,0.01449222,0.004156357,0.00004844104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4737397,0.001883649,0.5165321,0.0007228159,0.0001592137,0.0001250356,0.00005563115,0.002560013,0.004221877],"genre_scores_gemma":[0.9505739,0.000265348,0.04765976,0.00005249366,0.00008607116,0.0000618027,0.00004028446,0.0001138975,0.001146457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002582778,"threshold_uncertainty_score":0.01365918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004222428720569,"score_gpt":0.2774877827919426,"score_spread":0.2574455585047369,"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."}}