{"id":"W2042522292","doi":"10.1145/2620728.2620762","title":"Real time alpha-fairness based traffic engineering","year":2014,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Traffic engineering; Millisecond; Computer science; Implementation; Bandwidth (computing); Distributed computing; Computation; Computer network; Algorithm; Software 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":[0.0002184513,0.0001144461,0.0001275124,0.00005946075,0.00004606304,0.00009523506,0.000490637,0.00005263243,0.00007396383],"category_scores_gemma":[0.0000266425,0.00009840367,0.00005322686,0.0002550069,0.000009356118,0.0001588879,0.00006573372,0.00006898581,0.0002593255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000156035,"about_ca_system_score_gemma":0.00002214218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001214064,"about_ca_topic_score_gemma":0.000001703947,"domain_scores_codex":[0.9991698,0.0000213178,0.0001259342,0.000262424,0.0001570997,0.0002634108],"domain_scores_gemma":[0.999225,0.0002130199,0.00002356761,0.0004146325,0.00002676554,0.00009707751],"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":[0.0000119297,0.0001695457,0.0004704209,0.00004536566,0.00003304657,0.00002508602,0.0002305588,0.5470513,0.001609974,0.1102109,0.02895516,0.3111867],"study_design_scores_gemma":[0.0002212392,0.00004255079,0.001278448,0.00001019432,0.00000213899,0.000002870726,4.147246e-7,0.9915032,0.0002644907,0.00007697441,0.006446857,0.0001506488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02911746,0.00001205631,0.9649727,0.0003862169,0.0002940232,0.00005933032,2.772989e-7,0.001168993,0.003988897],"genre_scores_gemma":[0.8930793,0.000002217609,0.1057637,0.0003142047,0.0001798165,0.000008803695,0.00000285957,0.00001535182,0.0006337268],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8639618,"threshold_uncertainty_score":0.4012785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005090466961095884,"score_gpt":0.182135086737779,"score_spread":0.1770446197766831,"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."}}