{"id":"W2130566965","doi":"10.1109/greencom.2012.89","title":"Toward an Autonomic Energy Efficient Data Center","year":2012,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Provisioning; Autonomic computing; Computer science; Data center; Energy consumption; Server; Distributed computing; Frequency scaling; Efficient energy use; Cloud computing; Green computing; Service-level agreement; Energy (signal processing); Computer network; Operating system; Engineering","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":[0.000855363,0.0002744508,0.0002699659,0.0003142995,0.0004195421,0.001550588,0.0007646555,0.0006670993,0.0006592153],"category_scores_gemma":[0.0007084996,0.0002412588,0.0001664884,0.0004366435,0.0003630524,0.001412106,0.000745577,0.0007542066,0.0002360102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004610258,"about_ca_system_score_gemma":0.001128122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008834755,"about_ca_topic_score_gemma":0.001031205,"domain_scores_codex":[0.9996771,0.0000658175,0.00001651695,0.00005992078,0.0001232143,0.00005747925],"domain_scores_gemma":[0.999691,0.00004272533,0.00004421588,0.00004843326,0.0001142202,0.00005952894],"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":[0.0002577348,0.0005346934,0.006535893,0.000247733,0.00009281655,0.0003016911,0.0003182058,0.5162484,0.1015772,0.165475,0.005564847,0.2028458],"study_design_scores_gemma":[0.00004101435,0.0001304371,0.000922022,0.00001943682,0.00002344296,0.00009899783,0.000142019,0.9429646,0.01607574,0.02445686,0.01510801,0.00001748266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1416835,0.001237636,0.8410394,0.002758743,0.0001314937,0.0001385246,0.0000468442,0.001161681,0.0118022],"genre_scores_gemma":[0.7087256,0.0006471862,0.2872774,0.0003242868,0.00006216043,0.0000891028,0.0000494363,0.0000583416,0.002766473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001550588,"threshold_uncertainty_score":0.004523635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0465800634925619,"score_gpt":0.2555430116097746,"score_spread":0.2089629481172127,"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."}}