{"id":"W4232643876","doi":"10.1109/infocom.2007.74","title":"On the Performance of Primal/Dual Schemes for Congestion Control in Networks with Dynamic Flows","year":2008,"lang":"en","type":"article","venue":"2008 Proceedings IEEE INFOCOM - The 27th Conference on Computer Communications","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Mathematical optimization; FIFO (computing and electronics); Queueing theory; Stability (learning theory); Dual (grammatical number); Maximization; Utility maximization; Network congestion; Flow control (data); Class (philosophy); Function (biology); Mathematics; Mathematical economics; Network packet; 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":[0.01344874,0.001628014,0.001381995,0.001252102,0.001209392,0.002439101,0.001227036,0.001287622,0.002118614],"category_scores_gemma":[0.02630625,0.0005236366,0.0004328421,0.0009465818,0.00289754,0.002296657,0.0023801,0.001998841,0.000210669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002997883,"about_ca_system_score_gemma":0.002364443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004493014,"about_ca_topic_score_gemma":0.002290023,"domain_scores_codex":[0.9972172,0.001656306,0.0000777175,0.0002007752,0.0004825198,0.0003654841],"domain_scores_gemma":[0.981164,0.01544174,0.0009744223,0.0005920771,0.001287954,0.000539689],"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":[0.001138777,0.0002296835,0.0006422158,0.0001006258,0.0000454412,0.0000294269,0.0001094509,0.9351091,0.001353023,0.03701423,0.0008850673,0.02334281],"study_design_scores_gemma":[0.00002412127,0.00008833046,0.00005704936,0.00001083143,0.000006645381,0.000007147617,0.00001485393,0.9947405,0.0003252331,0.004632171,0.00008745938,0.000005702122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3278776,0.004834637,0.6444692,0.001723724,0.0004182299,0.0002415104,0.0001086667,0.000513637,0.01981285],"genre_scores_gemma":[0.9616938,0.0007599353,0.0358379,0.0001307866,0.00006083817,0.00007976493,0.00004111354,0.00005645843,0.001339376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01344874,"threshold_uncertainty_score":0.07112461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742320356552105,"score_gpt":0.235608443829142,"score_spread":0.208185240263621,"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."}}