{"id":"W1981357722","doi":"10.1109/aict.2007.35","title":"Optimizing Bandwidth Allocation of Different Traffic Classes for Traffic between an ISP and a Future Home Area Network","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Bandwidth (computing); Computer network; Quality of service; Computer science; Dynamic bandwidth allocation; Bandwidth allocation; Network traffic control; Queue; Blocking (statistics); Traffic generation model; Queueing theory; Real-time computing; 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":[0.001439778,0.0005022477,0.0006329788,0.0005695902,0.0006297303,0.00135509,0.00107265,0.000688402,0.001368206],"category_scores_gemma":[0.002853641,0.0004000091,0.0002720778,0.0006254903,0.0004436985,0.001515558,0.0006049391,0.0005753787,0.0002499286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002142493,"about_ca_system_score_gemma":0.001535695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01271597,"about_ca_topic_score_gemma":0.01057594,"domain_scores_codex":[0.999267,0.0002519582,0.00001862009,0.0001185848,0.0000992873,0.0002445617],"domain_scores_gemma":[0.9992071,0.0003331512,0.000108872,0.00006504494,0.0001557516,0.0001300545],"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":[0.0001455456,0.0001203089,0.002189992,0.00002407783,0.00002619467,0.00004202761,0.0000669938,0.9581743,0.005765788,0.006445631,0.0005887704,0.02641034],"study_design_scores_gemma":[0.000006571536,0.00002566768,0.0003468683,0.000001410309,0.000007198833,0.00001112851,0.00004541037,0.9971709,0.0007111654,0.001483445,0.0001863939,0.000003945237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5739654,0.0003957325,0.4149067,0.0004278894,0.00006212747,0.000120496,0.0000707435,0.0003708756,0.009680146],"genre_scores_gemma":[0.9792449,0.00007724656,0.01909442,0.00003148112,0.000009622254,0.00002061942,0.00003326709,0.00002707826,0.001461333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01271597,"threshold_uncertainty_score":0.02528387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681531837538244,"score_gpt":0.2442734177233253,"score_spread":0.2274580993479429,"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."}}