{"id":"W2464850106","doi":"10.1007/s11134-016-9488-8","title":"Choosing among heterogeneous server clouds","year":2016,"lang":"en","type":"article","venue":"Queueing Systems","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Server; Blocking (statistics); Computer science; Stationary distribution; Cloud computing; Poisson process; Load balancing (electrical power); Mathematics; Distributed computing; Poisson distribution; Computer network; Statistics; Operating system; Markov chain","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005265129,0.000707062,0.001381798,0.001157811,0.002006216,0.004017915,0.002065144,0.00142598,0.008007216],"category_scores_gemma":[0.01385894,0.0007089856,0.0008721265,0.001620253,0.0008647767,0.005337499,0.002160947,0.001644544,0.0007279508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495368,"about_ca_system_score_gemma":0.001906852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001808675,"about_ca_topic_score_gemma":0.004342805,"domain_scores_codex":[0.9963862,0.001609247,0.0001499828,0.0004692038,0.0004010307,0.0009843642],"domain_scores_gemma":[0.990577,0.005176159,0.0003948924,0.001390347,0.0008660609,0.001595578],"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":[0.009169085,0.002021841,0.05495564,0.00022864,0.0007977346,0.001869138,0.000718954,0.459665,0.02051669,0.1397983,0.01192458,0.2983344],"study_design_scores_gemma":[0.0002591979,0.0005124015,0.005358621,0.00003288302,0.0002068651,0.0002873761,0.0009252303,0.9143056,0.004722781,0.07092792,0.002397379,0.00006378426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8231988,0.0005585179,0.1608373,0.002039456,0.0001550273,0.0002193275,0.0001307259,0.0003616572,0.01249923],"genre_scores_gemma":[0.9738056,0.00007275,0.02500595,0.0001156173,0.00003424892,0.00002123135,0.00004241188,0.0000385784,0.0008635451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008007216,"threshold_uncertainty_score":0.02784503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180901223012604,"score_gpt":0.2141525646057336,"score_spread":0.2023435523756076,"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."}}