{"id":"W1967155922","doi":"10.1145/1670243.1670250","title":"Automatic virtual machine configuration for database workloads","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Database Systems","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); University of Waterloo","funders":"","keywords":"Computer science; Online transaction processing; Workload; Database; Software deployment; Virtual machine; Virtualization; Temporal isolation among virtual machines; Distributed computing; Hypervisor; Operating system; Cloud computing; Transaction processing; 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":[0.0004996076,0.0002444762,0.0002623443,0.0002504422,0.0007159286,0.0001251014,0.001149155,0.00005769289,0.00002791695],"category_scores_gemma":[0.00006170596,0.0002198787,0.0001205767,0.0004536187,0.00005416566,0.0001007305,0.00004889086,0.0001977414,0.000145736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007644699,"about_ca_system_score_gemma":0.00006438995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002179831,"about_ca_topic_score_gemma":0.0000160286,"domain_scores_codex":[0.9980049,0.0001425056,0.0004585648,0.0005954639,0.0004441447,0.0003544666],"domain_scores_gemma":[0.9971172,0.0004258294,0.0001405415,0.002098234,0.00007045714,0.0001477995],"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":[0.0002091562,0.002950878,0.00008596054,0.001282437,0.0009075251,0.0003787524,0.003865057,0.3230456,0.005244107,0.04091509,0.03477176,0.5863436],"study_design_scores_gemma":[0.0009951721,0.0002150682,0.00003684181,0.0002225457,0.00003401243,0.0001170859,0.0001173125,0.9816348,0.0007927602,0.00002220066,0.01549507,0.0003171466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02444104,0.00016163,0.9714692,0.0006465008,0.001352841,0.0008215113,0.0002899499,0.0005787486,0.0002386161],"genre_scores_gemma":[0.9739885,0.00001792338,0.02351877,0.0002201174,0.000153496,0.0002282514,0.0001445684,0.00002503458,0.001703343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9495475,"threshold_uncertainty_score":0.8966393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03302318292325333,"score_gpt":0.2566651177257133,"score_spread":0.22364193480246,"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."}}