{"id":"W2121574037","doi":"","title":"VDC Planner: Dynamic Migration-Aware Virtual Data Center Embedding for Clouds","year":2013,"lang":"en","type":"preprint","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cloud computing; Data center; Server; Distributed computing; Embedding; Virtual machine; Revenue; Computer network; 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":[0.0006635168,0.0006559142,0.0004395179,0.0004680882,0.0006191267,0.001048672,0.001611766,0.0006533649,0.00130894],"category_scores_gemma":[0.001338118,0.0002799349,0.0003731044,0.0004731225,0.0007219197,0.0009696235,0.001829509,0.0008600578,0.0002056345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089785,"about_ca_system_score_gemma":0.001611823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004377379,"about_ca_topic_score_gemma":0.004679472,"domain_scores_codex":[0.999508,0.0001548498,0.00002127657,0.00009168868,0.0001199753,0.0001041014],"domain_scores_gemma":[0.9996107,0.00009414899,0.00005084002,0.00009643738,0.00005489766,0.00009292467],"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":[0.0002439427,0.0001783344,0.002178262,0.0001062131,0.00004123141,0.0001795505,0.0001095356,0.8145149,0.01208743,0.01695172,0.006904429,0.1465043],"study_design_scores_gemma":[0.00001354853,0.00002394618,0.0001179579,0.000005025657,0.000004350471,0.00003177398,0.00002388649,0.9937199,0.002073454,0.002266678,0.001711591,0.000007848846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06712671,0.000821034,0.9218295,0.0006778801,0.000140031,0.0002019603,0.0001106669,0.004391419,0.004700799],"genre_scores_gemma":[0.7825649,0.0001877882,0.2154838,0.00009473324,0.00002288156,0.00007388613,0.0001150527,0.0001028366,0.001354058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004377379,"threshold_uncertainty_score":0.008703768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03116883158424202,"score_gpt":0.2941190754499229,"score_spread":0.2629502438656809,"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."}}