{"id":"W2013958607","doi":"10.1109/cnsm.2013.6727805","title":"Dynamic Controller Provisioning in Software Defined Networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":364,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"OpenFlow; Computer science; Software-defined networking; Provisioning; Scalability; Heuristics; Overhead (engineering); Distributed computing; Controller (irrigation); Computer network","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":[0.001407061,0.0007911914,0.0006498747,0.0004676832,0.0008854547,0.001273513,0.001253094,0.0009240769,0.001098573],"category_scores_gemma":[0.002395345,0.0006734154,0.0003465741,0.0008521684,0.0009740841,0.001493929,0.0007718388,0.001022781,0.0001045291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517567,"about_ca_system_score_gemma":0.002231208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005254954,"about_ca_topic_score_gemma":0.005926637,"domain_scores_codex":[0.998656,0.0005134273,0.00004731698,0.0002409315,0.000288937,0.0002534054],"domain_scores_gemma":[0.9986664,0.0008498495,0.000169463,0.00009036509,0.0001288568,0.00009521327],"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":[0.0000595981,0.00005310337,0.0002915612,0.00007526594,0.00001406305,0.00008031695,0.0000629033,0.9455063,0.00268951,0.01649556,0.0008146284,0.03385722],"study_design_scores_gemma":[0.00001271854,0.00003271559,0.0000876691,0.000009856596,0.000007716694,0.00002711532,0.00003992157,0.9887162,0.001314544,0.008171028,0.001573435,0.00000710727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05528293,0.0008898124,0.9375873,0.0005185687,0.00007116493,0.0001075909,0.00005584223,0.0004405227,0.005046287],"genre_scores_gemma":[0.8070261,0.000629092,0.1904473,0.0001200848,0.0000529664,0.0001253057,0.00008833928,0.00006028308,0.001450623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005254954,"threshold_uncertainty_score":0.01101077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00538340680440077,"score_gpt":0.2039132655713906,"score_spread":0.1985298587669899,"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."}}