{"id":"W2982390790","doi":"10.1109/icnp.2019.8888045","title":"Migration Scheduling in Distributed SDN Controllers","year":2019,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Scheduling (production processes); Distributed computing; Schedule; Controller (irrigation); Computer network; Dynamic priority scheduling; Quality of service; 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":[0.0001488668,0.00006584753,0.0001089545,0.00004970268,0.00002103789,0.00008050746,0.0002448079,0.00004320815,0.0000395415],"category_scores_gemma":[0.00002676823,0.00005475048,0.00003159202,0.0003210167,0.000005902171,0.0002510842,0.00005442732,0.00007370243,0.0001547434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002625533,"about_ca_system_score_gemma":0.00002400815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001038442,"about_ca_topic_score_gemma":0.000104781,"domain_scores_codex":[0.9993612,0.0000220769,0.0001373637,0.000198167,0.0001071144,0.000174085],"domain_scores_gemma":[0.9995674,0.0001039042,0.00003144136,0.0002363589,0.0000257687,0.00003516302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004898598,0.000149387,0.5706466,0.00001701495,0.00002984134,0.00001903175,0.0004945947,0.2179781,0.0009131967,0.1725228,0.004049188,0.03313123],"study_design_scores_gemma":[0.0008475987,0.00003190046,0.02546119,0.00001411507,9.127581e-7,0.000001429851,0.00002144827,0.9703313,0.0001356718,0.001269844,0.001775995,0.0001085894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3807995,0.00006814203,0.6167087,0.001123313,0.0002373243,0.0001190539,6.932149e-7,0.0001278743,0.0008153809],"genre_scores_gemma":[0.9839202,0.000007382049,0.01548166,0.0003668755,0.00002479836,0.000005695767,0.000007160311,0.000003057138,0.0001831488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7523532,"threshold_uncertainty_score":0.223266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007282758311168946,"score_gpt":0.2083680796799216,"score_spread":0.2010853213687526,"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."}}