{"id":"W2098152244","doi":"10.1109/isorc.2013.6913212","title":"Openstack scheduler evaluation using design of experiment approach","year":2013,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Virtualization; Cloud computing; Provisioning; Virtual machine; Distributed computing; Scheduling (production processes); Operating system; Replication (statistics)","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":[0.01449405,0.001845308,0.0018126,0.001230241,0.000584437,0.001228527,0.001513476,0.001112095,0.002058322],"category_scores_gemma":[0.01490429,0.0005800787,0.001829181,0.0008807498,0.000770809,0.0005930255,0.0006346007,0.00102195,0.000170391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691342,"about_ca_system_score_gemma":0.001707495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008355762,"about_ca_topic_score_gemma":0.0005901013,"domain_scores_codex":[0.9887041,0.007710109,0.0006743658,0.0008855196,0.001423601,0.0006023077],"domain_scores_gemma":[0.9717996,0.02186982,0.002184346,0.001144513,0.002719262,0.0002824331],"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":[0.03243101,0.02353167,0.02218727,0.00610785,0.003247083,0.0007395282,0.001812407,0.4418347,0.2714469,0.0184803,0.001487208,0.1766941],"study_design_scores_gemma":[0.004702106,0.1757981,0.02742689,0.0001822111,0.002322387,0.0002666819,0.0009725012,0.5161378,0.2524706,0.00747203,0.01185618,0.0003924048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.754113,0.0003536109,0.2289086,0.0001077407,0.0002467185,0.0119094,0.0005958635,0.0005532121,0.003211959],"genre_scores_gemma":[0.6735753,0.0002370747,0.3000778,0.0001491593,0.00005529809,0.02363618,0.0003048353,0.00008462282,0.001879722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01449405,"threshold_uncertainty_score":0.07665277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1075237014487914,"score_gpt":0.3008016654069453,"score_spread":0.1932779639581538,"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."}}