{"id":"W2892643113","doi":"10.1145/3236332","title":"Quantifying Cloud Performance and Dependability","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Modeling and Performance Evaluation of Computing Systems","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Horizon 2020; Horizon 2020 Framework Programme; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Deutsche Forschungsgemeinschaft","keywords":"Cloud computing; Dependability; Computer science; Benchmarking; Cloud testing; Cloud computing security; Service provider; Elasticity (physics); Service (business); Software engineering; Operating system","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":[0.003945008,0.0001863374,0.0002480358,0.0002048673,0.0007401886,0.0001248039,0.0004148977,0.0000733264,0.000002342254],"category_scores_gemma":[0.0000414848,0.0001702816,0.00004265444,0.0003039743,0.00009472804,0.00007533839,0.00005748598,0.0001874838,0.000006227565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005617534,"about_ca_system_score_gemma":0.00006099721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006682844,"about_ca_topic_score_gemma":0.000004323567,"domain_scores_codex":[0.9978279,0.000221168,0.0005139988,0.0004774417,0.0007021053,0.0002574064],"domain_scores_gemma":[0.9984412,0.0001491155,0.0001767536,0.0006797879,0.0004790282,0.00007411477],"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":[0.00001202492,0.00002892414,0.0009127867,0.0001164695,0.0000212227,5.273265e-8,0.001429643,0.7701502,0.00001679697,0.00009390965,0.0000026745,0.2272153],"study_design_scores_gemma":[0.0005145309,0.0003266037,0.002352685,0.0003669869,0.00003927371,0.0000182988,0.0001784234,0.9957499,0.0001832752,0.00006376205,0.00002254098,0.0001837335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6035806,0.000114213,0.3952253,0.00007882861,0.0005455651,0.000194475,4.772969e-7,0.00008562932,0.0001749649],"genre_scores_gemma":[0.9933311,0.00003033361,0.006409697,0.0000308968,0.000156621,0.000008067491,5.762393e-7,0.00001064304,0.0000220415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3897505,"threshold_uncertainty_score":0.6943881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08721084280405025,"score_gpt":0.3143385265384503,"score_spread":0.2271276837344,"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."}}