{"id":"W1509551190","doi":"","title":"DCSim: A data centre simulation tool for evaluating dynamic virtualized resource management","year":2012,"lang":"en","type":"article","venue":"Conference on Network and Service Management","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Virtualization; Server; Cloud computing; Provisioning; Scalability; Virtual machine; Data center; Host (biology); Live migration; Resource management (computing); Distributed computing; Workload; Operating system","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":[0.001418006,0.001141755,0.0009821927,0.001056865,0.0007873552,0.0009385116,0.002120959,0.001031024,0.003827975],"category_scores_gemma":[0.003540481,0.0004579426,0.0008445869,0.001341861,0.0006358042,0.0009564142,0.00113853,0.001366993,0.0004288933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624618,"about_ca_system_score_gemma":0.00224599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02845863,"about_ca_topic_score_gemma":0.01664515,"domain_scores_codex":[0.9994504,0.0001855349,0.00004807585,0.00005164579,0.0001630518,0.0001012312],"domain_scores_gemma":[0.9979443,0.001098952,0.0001272408,0.000215453,0.000411088,0.0002028099],"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":[0.0001653594,0.0001293226,0.002410348,0.0001003085,0.00004934506,0.0000510918,0.00007122467,0.9802832,0.002147322,0.003259795,0.003351555,0.007981107],"study_design_scores_gemma":[0.00003991192,0.00004319329,0.0002821199,0.00000595792,0.00001026501,0.000008125777,0.00002127217,0.9952727,0.001715275,0.0005236054,0.002066017,0.00001160517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3956375,0.0006148478,0.5194584,0.0009291635,0.0005701759,0.001485917,0.01081974,0.02297994,0.04750429],"genre_scores_gemma":[0.8521721,0.0003614668,0.1393455,0.0001215851,0.00002956793,0.0007893514,0.004137283,0.0006537981,0.002389307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02845863,"threshold_uncertainty_score":0.05658597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06810447680882105,"score_gpt":0.3225924567579244,"score_spread":0.2544879799491034,"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."}}