{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002566593,0.0001803651,0.0005026222,0.0002676568,0.0005826355,0.0003346996,0.003597709,0.0000516903,1.195428e-7],"category_scores_gemma":[0.0009438521,0.000126519,0.0002717729,0.0004165729,0.00008174955,0.0000339327,0.001352025,0.00009194179,1.627798e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004648489,"about_ca_system_score_gemma":0.00001654569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005742242,"about_ca_topic_score_gemma":0.000002321005,"domain_scores_codex":[0.9978834,0.00002219961,0.0005747739,0.0004221989,0.000871442,0.0002259744],"domain_scores_gemma":[0.9964892,0.0001095934,0.001589376,0.00100262,0.0007568889,0.0000523638],"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":[0.0003949779,0.002101302,0.1131644,0.004690329,0.01667065,0.000001067898,0.01099293,0.6021454,0.05022957,0.1165792,0.008158432,0.07487172],"study_design_scores_gemma":[0.0005405826,0.0001783483,0.04768982,0.0006686891,0.0007364742,9.941044e-7,0.0003728281,0.946492,0.00228439,0.0001254663,0.0007105855,0.0001998762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898183,0.0001903207,0.00639026,0.002559569,0.0002188979,0.0004085254,0.000002805175,0.00005261405,0.0003587055],"genre_scores_gemma":[0.9922288,0.000002066509,0.007494451,0.000039932,0.0001460118,0.000004058611,0.000001037574,0.000008513908,0.00007510098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3443466,"threshold_uncertainty_score":0.6685499,"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."}}