{"id":"W2495007994","doi":"10.1109/qosa.2016.12","title":"Estimating Response Time Percentiles of Cloud-Based Tiered Web Applications in Presence of VM Failures","year":2016,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Toronto Metropolitan University","funders":"","keywords":"Computer science; Cloud computing; Distributed computing; Virtual machine; Live migration; Response time; Virtual network; Queueing theory; Software deployment; Discrete event simulation; Computer network; Operating system; Virtualization; Simulation","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":[0.000612815,0.00009468805,0.0001671096,0.000182093,0.00004280292,0.00001932122,0.0007998022,0.00003290157,0.0000259863],"category_scores_gemma":[0.0001400952,0.000062796,0.00005747094,0.0003849786,0.00009236619,0.00002296113,0.0003051339,0.00003942414,0.00001689556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002416289,"about_ca_system_score_gemma":0.00006568565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005232366,"about_ca_topic_score_gemma":0.00000813326,"domain_scores_codex":[0.9988238,0.0001471532,0.0003346234,0.0002737681,0.0002427957,0.0001778811],"domain_scores_gemma":[0.9983902,0.0007349923,0.0001485606,0.0006208139,0.00006491362,0.00004054465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005151174,0.001887037,0.02831645,0.0006211268,0.0001220229,0.00001854632,0.004631253,0.2116786,0.4452078,0.05816422,0.007542423,0.2412954],"study_design_scores_gemma":[0.0005247934,0.00007724887,0.006896615,0.0002236455,0.000004500324,7.517658e-7,0.00005996949,0.9818354,0.0085144,0.0005146293,0.001213741,0.0001342585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6277661,0.00001809553,0.3699918,0.001194286,0.00003916531,0.0002083453,0.000002329622,0.0000816803,0.000698228],"genre_scores_gemma":[0.9107761,2.69978e-7,0.08822135,0.00001760557,0.00001687805,0.00001422008,2.9141e-7,0.000004922052,0.0009483155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7701568,"threshold_uncertainty_score":0.2560747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008644081138414613,"score_gpt":0.234343732744276,"score_spread":0.2256996516058614,"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."}}