{"id":"W7115814831","doi":"","title":"Performance Modeling and Capacity Planning for SAAS Applications","year":2025,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Capacity planning; Key (lock); Task (project management); Microservices; Quality (philosophy); Service (business); Software as a service; Discrete event simulation; Quality of service","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001201308,0.000851493,0.0006554505,0.0008707104,0.0008329835,0.001569145,0.001450665,0.0008747727,0.002352749],"category_scores_gemma":[0.003983325,0.0005724901,0.0006153613,0.0008993256,0.0007120076,0.001034776,0.0007997181,0.001359546,0.0003969385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002468139,"about_ca_system_score_gemma":0.002732119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02173982,"about_ca_topic_score_gemma":0.01222732,"domain_scores_codex":[0.9994287,0.0002142895,0.00002155923,0.00008227898,0.0001413608,0.0001118189],"domain_scores_gemma":[0.9985682,0.0008026822,0.0001457095,0.0000917378,0.0003158403,0.00007586626],"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":[0.00001154262,0.00001097447,0.0002416074,0.00001033255,0.000003971079,0.00001341313,0.00002298288,0.9918758,0.0004342933,0.004922875,0.0002056365,0.002246539],"study_design_scores_gemma":[6.000228e-7,0.000002934067,0.00003856731,0.000001848761,6.974824e-7,0.000002101752,0.000006282529,0.9987072,0.00008450024,0.001018907,0.000135132,0.000001252013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09452031,0.000517675,0.8857567,0.0006983475,0.00007878893,0.0001751767,0.0002775709,0.0009357831,0.01703955],"genre_scores_gemma":[0.9314159,0.0004488229,0.06314955,0.00005919873,0.00004227629,0.0002002744,0.000177692,0.0001479928,0.004358296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02173982,"threshold_uncertainty_score":0.04322654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02093493389147448,"score_gpt":0.2245788748190446,"score_spread":0.2036439409275701,"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."}}