{"id":"W2076844267","doi":"10.1109/mascots.2014.27","title":"Provisioning of Computing Resources for Web Applications under Time-Varying Traffic","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Provisioning; Computer science; Workload; Erlang (programming language); Queueing theory; Distributed computing; Benchmark (surveying); Computer network; Poisson distribution; Web application; Queue; Markov process; Real-time computing; 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":[0.00114154,0.0005753532,0.0005756064,0.0005797098,0.0007984343,0.001103129,0.0009474814,0.00100633,0.0007043194],"category_scores_gemma":[0.006376546,0.0002505613,0.0002203761,0.0008838612,0.0006088855,0.001354135,0.0005051803,0.0006312754,0.0001301637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762313,"about_ca_system_score_gemma":0.001070741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008187062,"about_ca_topic_score_gemma":0.005689108,"domain_scores_codex":[0.9993219,0.0001998743,0.00002781248,0.0000964256,0.0001450509,0.0002089229],"domain_scores_gemma":[0.9962005,0.002523357,0.0004831241,0.0001608402,0.0003913885,0.0002407948],"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":[0.0001714617,0.0001272657,0.003421803,0.00004004617,0.00001638529,0.0003601098,0.00005508707,0.9684694,0.01188589,0.005041447,0.00048847,0.009922602],"study_design_scores_gemma":[0.000002895197,0.00002083523,0.0004127656,9.713283e-7,0.000002725933,0.00001927155,0.0000209296,0.9980483,0.000833318,0.0005865388,0.00004868293,0.000002765978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9031424,0.0002158507,0.09166926,0.0004196676,0.00003799201,0.0000688497,0.0001063815,0.0003428512,0.003996632],"genre_scores_gemma":[0.9960951,0.00007031608,0.003413721,0.00001790928,0.00001049457,0.00001544568,0.00002461965,0.00001147747,0.0003408719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008187062,"threshold_uncertainty_score":0.0162788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009974309062989664,"score_gpt":0.2385357533123092,"score_spread":0.2285614442493195,"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."}}