{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002875261,0.001102174,0.0005351864,0.003656941,0.0006684086,0.002087006,0.001211399,0.0009179307,0.00128145],"category_scores_gemma":[0.02633741,0.0003704094,0.000622353,0.002942604,0.001240173,0.003860517,0.001485611,0.001021497,0.0003813961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002184868,"about_ca_system_score_gemma":0.001060817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005736635,"about_ca_topic_score_gemma":0.002767297,"domain_scores_codex":[0.9956058,0.0009100672,0.0003105737,0.0007145015,0.002002915,0.0004561552],"domain_scores_gemma":[0.9806299,0.01122538,0.002468116,0.002924443,0.002268523,0.0004835894],"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":[0.0001937824,0.0001502865,0.04070468,0.000751325,0.0002946984,0.0002430961,0.0003922296,0.7548339,0.01598158,0.06105293,0.002958246,0.1224432],"study_design_scores_gemma":[0.00001670911,0.0003666611,0.04829029,0.0002414243,0.0001260191,0.000480457,0.0002918106,0.8268287,0.01312214,0.09687941,0.01320061,0.0001557413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4517176,0.01224213,0.4952503,0.002284434,0.0002847692,0.0003040562,0.003208924,0.001815089,0.03289259],"genre_scores_gemma":[0.9840693,0.001641321,0.01242699,0.00008788407,0.0001065492,0.00007646956,0.0008829694,0.0001545371,0.0005539962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005736635,"threshold_uncertainty_score":0.01585239,"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."}}