{"id":"W3198182256","doi":"10.2139/ssrn.3648442","title":"Optimal Capacity Planning for Cloud Service Providers with Periodic, Time-Varying Demand","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Cloud computing; Service provider; Business; On demand; Service (business); Capacity planning; Computer science; Process management; Operations management; Marketing; Economics; Commerce","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":[0.002003051,0.001042494,0.001821418,0.001030831,0.000870708,0.002505348,0.001647499,0.001716973,0.004585897],"category_scores_gemma":[0.005883366,0.001708973,0.0008329362,0.001731417,0.001240125,0.001860385,0.00115258,0.00169373,0.0002896498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004193762,"about_ca_system_score_gemma":0.003964384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04264616,"about_ca_topic_score_gemma":0.02933762,"domain_scores_codex":[0.9988438,0.0003798864,0.00003577295,0.0001764632,0.0001463545,0.0004177364],"domain_scores_gemma":[0.9961814,0.002763959,0.0002992523,0.00007372131,0.0003155268,0.0003661675],"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":[0.00005119338,0.00001733506,0.0001117119,0.00002105487,0.00001182478,0.00002915106,0.0000127397,0.9949703,0.000192074,0.002750594,0.0004190904,0.00141302],"study_design_scores_gemma":[0.000005091439,0.000008342568,0.00006427082,0.000002556903,0.000003549668,0.00000322907,0.00001318139,0.998404,0.00004975348,0.001392423,0.00005031285,0.000003422092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3620494,0.002388872,0.6072077,0.003584351,0.0004049751,0.0004344463,0.00111186,0.0006430823,0.02217536],"genre_scores_gemma":[0.9787211,0.0003535411,0.01717057,0.00008510601,0.00005276215,0.00007610062,0.000154505,0.00005965606,0.003326733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04264616,"threshold_uncertainty_score":0.08479589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376428108512329,"score_gpt":0.2208925821933649,"score_spread":0.2071283011082416,"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."}}