{"id":"W2103621877","doi":"10.1109/tpds.2010.95","title":"LBMP: A Logarithm-Barrier-Based Multipath Protocol for Internet Traffic Management","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Parallel and Distributed Systems","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Multipath propagation; Mathematical optimization; Logarithm; Multipath routing; Network packet; Convergence (economics); Routing protocol; Computer network; Distributed computing; Network congestion; Network topology; Link-state routing protocol; Mathematics","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":[0.001339688,0.0007059836,0.0005849723,0.0009307039,0.0006913468,0.001079875,0.001855647,0.0008656911,0.001537835],"category_scores_gemma":[0.00362101,0.0002408426,0.000418236,0.000985065,0.0008861008,0.001642036,0.002286803,0.001929588,0.0005130094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042257,"about_ca_system_score_gemma":0.001374242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473954,"about_ca_topic_score_gemma":0.00146737,"domain_scores_codex":[0.9993153,0.0002045813,0.00003878091,0.00006859793,0.0002825853,0.00009013829],"domain_scores_gemma":[0.9991432,0.0003097577,0.0001244437,0.0001512776,0.0001982067,0.00007300355],"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":[0.0005023807,0.0002551093,0.001287456,0.0002956683,0.0001006893,0.000499538,0.0003046572,0.4891411,0.04683727,0.1661783,0.01670809,0.2778898],"study_design_scores_gemma":[0.00004219123,0.00014077,0.0001737815,0.0000170338,0.00001966096,0.0001652927,0.0000303932,0.9580778,0.008412238,0.02232868,0.01054735,0.00004486883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01330389,0.0004741046,0.9798615,0.0004074191,0.000085658,0.0001412236,0.0001192955,0.002498986,0.00310792],"genre_scores_gemma":[0.678422,0.0008030061,0.3148666,0.0003276992,0.0001069234,0.0006849132,0.0004057602,0.0003028186,0.004080253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001855647,"threshold_uncertainty_score":0.00756216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770175664185266,"score_gpt":0.2582322459100113,"score_spread":0.2405304892681586,"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."}}