{"id":"W4415933966","doi":"10.1109/nof66640.2025.11223315","title":"Evaluating the performance of 5G Core NFV-based Deployments in AWS","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":"École de Technologie Supérieure","funders":"","keywords":"Software deployment; Cloud computing; Workload; Core network; Network packet; Core (optical fiber); Bandwidth (computing); Key (lock)","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":[0.001472619,0.0006147727,0.0003762363,0.0005922122,0.0004831395,0.0006900162,0.0007017888,0.0004457913,0.0008007384],"category_scores_gemma":[0.003671469,0.0001849294,0.0001768537,0.0005899348,0.0006073461,0.001342102,0.0007301035,0.0004698141,0.0002191355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001183283,"about_ca_system_score_gemma":0.0004713677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01159205,"about_ca_topic_score_gemma":0.009832758,"domain_scores_codex":[0.9991584,0.0001918399,0.00003799596,0.0001302153,0.000227062,0.0002545621],"domain_scores_gemma":[0.9983426,0.000629577,0.0001363157,0.0002283131,0.0004393314,0.0002238992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003062079,0.0009012925,0.05095616,0.000342924,0.0001960031,0.001534936,0.0008255499,0.6971318,0.1187459,0.006410114,0.005188188,0.1147051],"study_design_scores_gemma":[0.00007951033,0.001861958,0.03394607,0.00004071709,0.00005140363,0.0003771328,0.0009148704,0.9290527,0.02959819,0.001430987,0.002592329,0.00005406365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910909,0.00007477964,0.00523557,0.00007177263,0.00003369708,0.00007049514,0.0001126889,0.0003683279,0.002941781],"genre_scores_gemma":[0.9974182,0.0000379948,0.002182077,0.0000168626,0.000003385964,0.00001233282,0.00009254902,0.00002021147,0.0002165414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01159205,"threshold_uncertainty_score":0.02304918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07985387550652936,"score_gpt":0.3574094731889385,"score_spread":0.2775555976824091,"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."}}