{"id":"W7125674849","doi":"10.1109/vcc67261.2025.11351126","title":"DRL-Based NFV Orchestration for Ultra-Low Latency Edge Applications","year":2025,"lang":"","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Testbed; Latency (audio); Orchestration; Network Functions Virtualization; Virtualization; Virtual network; Edge computing; Reinforcement learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006457652,0.0006121446,0.0004161248,0.0002539539,0.0004841252,0.0006205915,0.001440941,0.0004575741,0.001754092],"category_scores_gemma":[0.001271032,0.0002064569,0.0002347595,0.0002015969,0.0005499856,0.0008451915,0.00122043,0.0008965352,0.0004008957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133198,"about_ca_system_score_gemma":0.001127859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005637708,"about_ca_topic_score_gemma":0.01001255,"domain_scores_codex":[0.9995514,0.00008023519,0.00001975382,0.0001041603,0.0001143515,0.0001300799],"domain_scores_gemma":[0.9995988,0.0001040215,0.00006171342,0.00006911232,0.00009021092,0.00007609499],"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":[0.0002233425,0.0002510944,0.002456115,0.00008180048,0.00003414605,0.0002099573,0.000160603,0.7971577,0.03005493,0.00773575,0.004334627,0.1573],"study_design_scores_gemma":[0.000005863214,0.00002124513,0.0001104237,0.000002714438,0.000002697355,0.00001911301,0.00001512661,0.99555,0.002078386,0.001388526,0.0008019499,0.000003935284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06246321,0.0002366183,0.9282566,0.0002693982,0.0000806934,0.00007664943,0.00006443595,0.003708802,0.004843581],"genre_scores_gemma":[0.9117675,0.00007835272,0.08530167,0.0001580132,0.00002037682,0.00005568607,0.00009168909,0.0001686575,0.002358136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005637708,"threshold_uncertainty_score":0.01120979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641102296232876,"score_gpt":0.2703559801761969,"score_spread":0.2539449572138682,"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."}}