{"id":"W1571509735","doi":"10.1109/ihtc.2015.7238045","title":"Role-based multiple controllers for load balancing and security in SDN","year":2015,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"OpenFlow; Computer science; Software-defined networking; Load balancing (electrical power); Key (lock); Architecture; Network security; Load management; Computer security; Computer network; Distributed computing; Engineering","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":[0.001551165,0.00036629,0.0004876186,0.0004540786,0.000952469,0.001461512,0.001888108,0.0005644382,0.001965793],"category_scores_gemma":[0.00190591,0.0002039611,0.0003311539,0.0002414033,0.0008273429,0.001817134,0.001251025,0.0009480927,0.0003733974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008003348,"about_ca_system_score_gemma":0.001222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001084289,"about_ca_topic_score_gemma":0.002363079,"domain_scores_codex":[0.9991874,0.0002445726,0.00006160054,0.000149406,0.0002379418,0.0001190214],"domain_scores_gemma":[0.9992235,0.0002088925,0.00006597877,0.0001550171,0.0002211719,0.0001253995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001109854,0.0005089769,0.002676605,0.0002217364,0.00009088875,0.0008191893,0.001068531,0.1829318,0.08153082,0.4304437,0.007011862,0.291586],"study_design_scores_gemma":[0.00009253033,0.0002123765,0.0002279993,0.00002414005,0.00003657917,0.0001773233,0.00009099281,0.9463977,0.01653227,0.02503563,0.01113748,0.00003492679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05002988,0.0006225116,0.9389787,0.0004633889,0.0003144514,0.0001779216,0.00002926941,0.001077652,0.008306311],"genre_scores_gemma":[0.8618983,0.0002772,0.1334531,0.0001728377,0.0001108658,0.0001341509,0.00004738115,0.00005314935,0.003853034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001965793,"threshold_uncertainty_score":0.008203447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596984559149544,"score_gpt":0.2288666441070968,"score_spread":0.2128967985156013,"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."}}