{"id":"W3034328893","doi":"10.1109/noms47738.2020.9110292","title":"Load Migration in Distributed SDN Controllers","year":2020,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Scalability; Distributed computing; Controller (irrigation); Software-defined networking; Load balancing (electrical power); Datapath; Protocol (science); Load management; Reliability (semiconductor); Computer network; Power (physics); Embedded system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007738522,0.00006443352,0.0001024635,0.0000156642,0.00002384775,0.00007090859,0.000261452,0.00003394592,0.00002804928],"category_scores_gemma":[0.00007101158,0.00005361981,0.00003097964,0.0004060411,0.000008773181,0.00017947,0.00006043144,0.00006661885,0.00006883485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002918399,"about_ca_system_score_gemma":0.00004232398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009615806,"about_ca_topic_score_gemma":0.0001669203,"domain_scores_codex":[0.999366,0.00002266633,0.0001333487,0.0001971009,0.0001348305,0.0001459951],"domain_scores_gemma":[0.9996653,0.00006787027,0.00002565372,0.0001372012,0.00003077428,0.00007315148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002521938,0.0003277347,0.1421582,0.00003904334,0.00007912546,0.0002207705,0.005386036,0.05286707,0.001401564,0.1834013,0.4566629,0.1572041],"study_design_scores_gemma":[0.001319538,0.00008451441,0.01482557,0.000007098602,0.000002049595,0.000001434792,0.00002723095,0.9570842,0.0002114761,0.001073217,0.02520101,0.0001626944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01314614,0.0001116785,0.9653549,0.0199196,0.000106042,0.0001062269,0.000002177138,0.0002339504,0.001019341],"genre_scores_gemma":[0.9918236,0.00001105908,0.005065374,0.002988084,0.00005011313,0.000006892565,0.000006440674,0.000002702886,0.0000457007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9786775,"threshold_uncertainty_score":0.2186553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586171498648842,"score_gpt":0.2091347456186632,"score_spread":0.1932730306321748,"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."}}