{"id":"W2047587707","doi":"10.1109/mascots.2012.22","title":"MMPP Characterization of Web Application Traffic","year":2012,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Burstiness; Computer science; Provisioning; TRACE (psycholinguistics); Markovian arrival process; Context (archaeology); Markov process; Poisson distribution; Real-time computing; Queueing theory; Computer network; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005997079,0.0004229792,0.0003205323,0.001582462,0.0003166575,0.0006150541,0.0005095245,0.0004804039,0.0004865118],"category_scores_gemma":[0.005070986,0.0001403829,0.0001887244,0.0009674932,0.0002689148,0.0005581412,0.0002907107,0.0004793646,0.0001660787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005473287,"about_ca_system_score_gemma":0.0004136701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002170397,"about_ca_topic_score_gemma":0.0008999239,"domain_scores_codex":[0.9994622,0.00009104059,0.00004002657,0.00008018612,0.0002779393,0.00004860715],"domain_scores_gemma":[0.996869,0.001522192,0.0003434283,0.0003656493,0.000771192,0.0001284774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007331439,0.0005087504,0.07524802,0.0002274522,0.00007229325,0.001320109,0.0003724235,0.6348729,0.1689528,0.009834391,0.002242895,0.1056149],"study_design_scores_gemma":[0.000003904566,0.00003183672,0.005880432,0.000002502072,0.00000346486,0.0001712042,0.00002180286,0.9844604,0.008517324,0.0007098917,0.000191708,0.000005457856],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8241431,0.0001409848,0.1701799,0.0001726826,0.00002665347,0.0001657759,0.0009612148,0.00132998,0.002879774],"genre_scores_gemma":[0.9854116,0.000055369,0.01379822,0.00001076415,0.00001126533,0.00005623504,0.0003846706,0.00002824915,0.0002435806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002170397,"threshold_uncertainty_score":0.004315495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006765194173599514,"score_gpt":0.2023048387945377,"score_spread":0.1955396446209381,"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."}}