{"id":"W2048644055","doi":"10.1016/j.osn.2009.03.003","title":"A survey of dynamic bandwidth allocation algorithms for Ethernet Passive Optical Networks","year":2009,"lang":"en","type":"article","venue":"Optical Switching and Networking","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":133,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Dynamic bandwidth allocation; Computer science; Computer network; Bandwidth (computing); Passive optical network; Bandwidth allocation; Bottleneck; Quality of service; Upstream (networking); Ethernet; Channel allocation schemes; Bandwidth management; Telecommunications; Wavelength-division multiplexing; Wireless; Embedded system","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":[0.00148606,0.0009807798,0.001464568,0.001302294,0.000773386,0.001862998,0.002162324,0.001045344,0.002200099],"category_scores_gemma":[0.003180864,0.0005679777,0.0005874878,0.002896416,0.0004255056,0.002696479,0.00098691,0.001292503,0.0007959092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009417034,"about_ca_system_score_gemma":0.001089382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001190858,"about_ca_topic_score_gemma":0.001030658,"domain_scores_codex":[0.9988036,0.0002802036,0.0001138016,0.0002587064,0.0004323899,0.0001112891],"domain_scores_gemma":[0.9990826,0.0004504976,0.00006896387,0.0001785271,0.0001931513,0.00002624425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001415721,0.0001543352,0.0004079255,0.0004599849,0.00005020451,0.00001973743,0.00004487814,0.1015563,0.002496315,0.04471098,0.007032137,0.8429255],"study_design_scores_gemma":[0.00006223595,0.0001576677,0.0004938592,0.0002116475,0.00006187548,0.0002666603,0.00005856465,0.8677893,0.004473474,0.08150837,0.04487738,0.00003892425],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.008522859,0.03475939,0.9489906,0.0004536569,0.000318993,0.00007580542,0.000100955,0.0005678292,0.006210051],"genre_scores_gemma":[0.2075986,0.06691878,0.7140701,0.000511812,0.001178947,0.0002767095,0.0008246818,0.0003525723,0.008267828],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002200099,"threshold_uncertainty_score":0.00785917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111742257440831,"score_gpt":0.2772364413969736,"score_spread":0.2561190188225653,"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."}}