{"id":"W2136425853","doi":"10.1109/infcom.1997.631164","title":"Queueing analysis of a distributed explicit rate allocation algorithm for ABR services","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Queueing theory; Computer science; Bounding overwatch; Computer network; Node (physics); Layered queueing network; Flow control (data); Bandwidth (computing); Distributed computing; Queue; Resource allocation; Algorithm; Asynchronous Transfer Mode; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002095907,0.0005047948,0.0007738976,0.0004719268,0.0005292456,0.001203184,0.001179756,0.0006927486,0.00177663],"category_scores_gemma":[0.008705831,0.0004095944,0.0003952915,0.0004095458,0.000783235,0.001299652,0.0007522975,0.0009087615,0.0002191769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002169352,"about_ca_system_score_gemma":0.001717692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007396223,"about_ca_topic_score_gemma":0.002825791,"domain_scores_codex":[0.9987894,0.000368008,0.00004144905,0.0001309705,0.0005154452,0.0001548021],"domain_scores_gemma":[0.996753,0.001997722,0.000193179,0.0001809888,0.0007924734,0.00008260251],"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":[0.00007236792,0.00002240202,0.0002946115,0.00002712674,0.00001448471,0.00003028996,0.00005146082,0.9609638,0.002066133,0.02726872,0.0003012789,0.008887257],"study_design_scores_gemma":[0.000002225866,0.000005277765,0.00002628201,6.935192e-7,0.000001311111,0.000003165842,0.000001691461,0.9987527,0.0000649928,0.001091568,0.00004896873,0.000001137514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04996566,0.0004297594,0.9464958,0.0001636961,0.00003936489,0.00004133135,0.00003502709,0.0001903049,0.002639071],"genre_scores_gemma":[0.9014705,0.0003684446,0.09496632,0.00006696764,0.00005586547,0.00009592643,0.00007377316,0.00007280472,0.002829292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007396223,"threshold_uncertainty_score":0.01573986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250137678477294,"score_gpt":0.2229224717443706,"score_spread":0.2104210949595977,"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."}}