{"id":"W2079080010","doi":"10.1109/sarnof.2009.4850287","title":"Bounds on end-to-end delay and jitter in input-buffered and internally-buffered IP networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada); McMaster University","funders":"","keywords":"Jitter; Computer science; Computer network; End-to-end delay; Token bucket; Queueing theory; Quality of service; Queue; Voice over IP; Bounded function; Topology (electrical circuits); Real-time computing; Algorithm; Network packet; Mathematics; Telecommunications; Electrical engineering; 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":[0.003720477,0.001856697,0.0007468712,0.001336965,0.0009183419,0.003042852,0.002394526,0.0009513462,0.001832119],"category_scores_gemma":[0.01954487,0.0005784547,0.0004138448,0.001140439,0.001467278,0.003429744,0.001550144,0.001948223,0.0004020513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002845357,"about_ca_system_score_gemma":0.001910767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00374791,"about_ca_topic_score_gemma":0.003091586,"domain_scores_codex":[0.9983094,0.0002923014,0.0001037145,0.0001772439,0.0007541921,0.000363232],"domain_scores_gemma":[0.9903086,0.006820533,0.0004626785,0.0006592238,0.001476141,0.0002728406],"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":[0.0005146175,0.00008299749,0.001265694,0.000268226,0.00005133232,0.0001748097,0.0001728355,0.8476171,0.01522693,0.07882311,0.001278697,0.05452357],"study_design_scores_gemma":[0.00001155802,0.00007793585,0.0003190619,0.0000478421,0.00003074629,0.00006390122,0.00003608774,0.9732186,0.007429148,0.01760964,0.001139192,0.00001634041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04984109,0.004043723,0.9339103,0.000291842,0.0001484778,0.00005327952,0.0002045805,0.0007086985,0.01079807],"genre_scores_gemma":[0.8521302,0.003800925,0.1392163,0.0001513605,0.0002036959,0.0002142994,0.0004227276,0.0002792524,0.00358124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00374791,"threshold_uncertainty_score":0.02064466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067280403985474,"score_gpt":0.2321499167785717,"score_spread":0.2214771127387169,"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."}}