{"id":"W2112968540","doi":"10.1145/1364654.1364674","title":"Router buffer sizing revisited","year":2007,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"National Science Foundation","keywords":"Sizing; Computer science; Buffer (optical fiber); Router; Throughput; H-TCP; TCP tuning; TCP Friendly Rate Control; Testbed; Buffer overflow; Computer network; Real-time computing; Network congestion; Telecommunications; Network packet","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":[0.006534016,0.0009136003,0.001224777,0.001387279,0.0007348312,0.003648838,0.003517081,0.002943351,0.00337194],"category_scores_gemma":[0.01737538,0.0005324843,0.0004885542,0.001435935,0.002048343,0.007259051,0.001327974,0.003073055,0.0006311126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002092808,"about_ca_system_score_gemma":0.001245133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001084418,"about_ca_topic_score_gemma":0.001214547,"domain_scores_codex":[0.9963599,0.001398833,0.0002977302,0.000849218,0.0008602343,0.0002339685],"domain_scores_gemma":[0.9869878,0.008789944,0.001128864,0.00119016,0.001610506,0.0002928006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004074303,0.0001439823,0.003119409,0.0009656809,0.0001714443,0.0004274907,0.0004750509,0.07586637,0.01674186,0.5167728,0.01821885,0.3666897],"study_design_scores_gemma":[0.0003146345,0.0005875901,0.003810464,0.001027836,0.0004803666,0.001782475,0.0008549601,0.2476352,0.0412799,0.5900165,0.1119145,0.0002956275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1425333,0.1060303,0.5589514,0.0914266,0.00627402,0.0002870137,0.0005909792,0.002660642,0.0912457],"genre_scores_gemma":[0.8834323,0.01711191,0.08363059,0.00584856,0.003040835,0.0001099526,0.00009261079,0.0003466643,0.006386779],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006534016,"threshold_uncertainty_score":0.03455555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00807032357540587,"score_gpt":0.2249536772924113,"score_spread":0.2168833537170055,"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."}}