{"id":"W2951258124","doi":"10.1145/3084460","title":"Optimal Posted Prices for Online Cloud Resource Allocation","year":2017,"lang":"en","type":"article","venue":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Cloud computing; Resource (disambiguation); Renting; Resource allocation; Computer science; Function (biology); Resource management (computing); Microeconomics; Environmental economics; Operations research; Distributed computing; Economics; Mathematics; Computer network; Operating system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005469402,0.001617625,0.002175613,0.001139983,0.00104527,0.003359552,0.002731656,0.002354187,0.004611899],"category_scores_gemma":[0.02834164,0.001261153,0.0009336522,0.00130214,0.002273869,0.005241479,0.001739233,0.002388045,0.0006118553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004331578,"about_ca_system_score_gemma":0.003075953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00328995,"about_ca_topic_score_gemma":0.002291644,"domain_scores_codex":[0.9966946,0.001549683,0.0001336294,0.0003728055,0.000601106,0.0006481542],"domain_scores_gemma":[0.9815777,0.01442449,0.0011542,0.0007256349,0.001182438,0.0009355534],"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":[0.0003013513,0.0002835416,0.0007661124,0.0001397874,0.00005200489,0.0001437386,0.0001043805,0.8753264,0.001871404,0.1004616,0.002002255,0.01854746],"study_design_scores_gemma":[0.00001742191,0.00004133856,0.00008675422,0.000006768288,0.00001005962,0.00001908806,0.00001874455,0.9772319,0.0003091699,0.02187427,0.0003735897,0.00001093377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1287977,0.0009500708,0.8529154,0.001208863,0.0002978639,0.0003117797,0.0002076285,0.0004724282,0.01483829],"genre_scores_gemma":[0.9379153,0.0004511048,0.05555822,0.0001581328,0.0001454842,0.0001631511,0.00009784468,0.0001503171,0.005360406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005469402,"threshold_uncertainty_score":0.03142792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04488046066421576,"score_gpt":0.2710387409588013,"score_spread":0.2261582802945855,"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."}}