{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004381346,0.0002279912,0.0003001406,0.0002408732,0.00009392517,0.0005264566,0.0003829103,0.0001358411,0.00004390194],"category_scores_gemma":[0.00001628495,0.0001843397,0.00004601048,0.0002932263,0.0000298248,0.0003038355,0.0001638619,0.0002770856,0.0000172646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005608763,"about_ca_system_score_gemma":0.0000145503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001495874,"about_ca_topic_score_gemma":0.0004918998,"domain_scores_codex":[0.9983233,0.0001268482,0.0003824989,0.0005623242,0.0002016698,0.0004033275],"domain_scores_gemma":[0.9991913,0.0001187834,0.00006595618,0.0003883138,0.00004816258,0.000187425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006727866,0.0006125901,0.04037966,0.00005343499,0.0002013251,0.0004945348,0.01081022,0.00868221,0.001331132,0.2141291,0.06652232,0.6561106],"study_design_scores_gemma":[0.00190399,0.001685979,0.152374,0.0003779822,0.00000885603,0.0003188328,0.0001109634,0.8238862,0.0002513268,0.003337958,0.01490268,0.0008413331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5834866,0.0001634715,0.4029239,0.003503044,0.000904019,0.0002941636,8.526912e-7,0.0001227483,0.008601229],"genre_scores_gemma":[0.9902148,0.00002036344,0.001273702,0.006415824,0.0002305235,0.00001138112,0.000001144197,0.000009405651,0.001822841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8152039,"threshold_uncertainty_score":0.7517157,"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."}}