{"id":"W3006995895","doi":"10.1145/2318857.2254776","title":"Pricing cloud bandwidth reservations under demand uncertainty","year":2012,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cloud computing; Computer science; Dynamic bandwidth allocation; Bandwidth (computing); Bandwidth allocation; Mathematical optimization; Computer network; Mathematics","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":[0.009302359,0.0002160663,0.0003045497,0.0003669554,0.0004321649,0.0001145506,0.001369717,0.00006162147,0.00009388274],"category_scores_gemma":[0.002508098,0.0001777395,0.0001134582,0.003971086,0.00002956394,0.000269997,0.0007205359,0.0002251385,0.0002239809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002601357,"about_ca_system_score_gemma":0.0001105088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001059417,"about_ca_topic_score_gemma":9.652474e-7,"domain_scores_codex":[0.9967822,0.0003593379,0.0005955371,0.0003848109,0.001353546,0.00052458],"domain_scores_gemma":[0.9970127,0.0006066951,0.0003338688,0.001524503,0.0003619336,0.0001603196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002392416,0.0001808974,0.01258219,0.001125202,0.0000684116,4.269292e-7,0.0004234771,0.05514902,0.000008999181,0.006656076,0.01708585,0.9067171],"study_design_scores_gemma":[0.0005372004,0.00008937678,0.04552174,0.00139226,0.0001863595,0.00001162846,0.00002880392,0.816778,0.00004687782,0.0006643706,0.1342599,0.0004835024],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5095115,0.2088926,0.2508107,0.01126108,0.003469232,0.003179433,0.000001587163,0.0006012575,0.01227262],"genre_scores_gemma":[0.9462038,0.0301768,0.01708889,0.00533023,0.0005581492,0.0001436161,0.00001966617,0.00002253947,0.0004562988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9062335,"threshold_uncertainty_score":0.7248007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0897702861553863,"score_gpt":0.3370981740553539,"score_spread":0.2473278878999676,"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."}}