{"id":"W2000724414","doi":"10.1109/glocomw.2014.7063415","title":"Multi-objective ACO virtual machine placement in cloud computing environments","year":2014,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"CloudSim; Computer science; Virtual machine; Cloud computing; Data center; Virtualization; Distributed computing; Pareto principle; Energy consumption; Green computing; Genetic algorithm; Ant colony optimization algorithms; Algorithm; Computer network; Mathematical optimization; Operating system; Machine learning; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007925474,0.0002076365,0.0002102336,0.0001528205,0.0001476615,0.00009357735,0.0008279101,0.00004988974,0.0000147832],"category_scores_gemma":[0.00003120941,0.0001805547,0.00006252419,0.0002533052,0.00003783264,0.00002659344,0.001269681,0.000204223,0.000151068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001324689,"about_ca_system_score_gemma":0.000008716146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001283878,"about_ca_topic_score_gemma":0.00002462266,"domain_scores_codex":[0.9981139,0.0001919428,0.0003247821,0.0005934031,0.0003461787,0.0004297873],"domain_scores_gemma":[0.9991192,0.0001475312,0.0000979352,0.000531317,0.000007747164,0.00009626403],"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":[0.00002368652,0.001077567,0.01253689,0.00002061455,0.00008443278,0.00003285965,0.005308849,0.7299885,0.0007323642,0.02124364,0.001097308,0.2278533],"study_design_scores_gemma":[0.001242529,0.0001584342,0.01371223,0.00002540193,0.000003078659,0.000003102562,0.0001444802,0.9785177,0.0002669757,0.00007318391,0.005615384,0.0002375443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1926479,0.00002091257,0.8017057,0.0003056622,0.0004298204,0.0001919423,2.960641e-7,0.0001433638,0.004554376],"genre_scores_gemma":[0.9671644,0.000001347696,0.02938207,0.0007196552,0.0001103068,0.000004375346,0.000001387575,0.00001154233,0.002604916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7745165,"threshold_uncertainty_score":0.7362809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009841997638976174,"score_gpt":0.2253951323891545,"score_spread":0.2155531347501784,"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."}}