{"id":"W4289655075","doi":"10.1109/netsoft54395.2022.9844042","title":"Demo: A Network Simulator for 5G Virtualized Networks","year":2022,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada); Concordia University","funders":"","keywords":"Computer science; Network simulation; Network traffic simulation; Network traffic control; Traffic generation model; Scalability; Distributed computing; Network management station; Virtual network; Virtualization; Network virtualization; Computer network; Key (lock); Network architecture; Operating system; Cloud computing","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":[0.0008229422,0.00100105,0.0006486254,0.0005822381,0.0004856107,0.0007320818,0.001781648,0.0009446613,0.005808069],"category_scores_gemma":[0.00227759,0.0003902641,0.0005315355,0.0006097572,0.0004372588,0.00107534,0.0008884795,0.001468448,0.000607149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009896777,"about_ca_system_score_gemma":0.001214091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009549711,"about_ca_topic_score_gemma":0.009591162,"domain_scores_codex":[0.9995643,0.0001580835,0.00003194031,0.00004176929,0.0001319713,0.00007184802],"domain_scores_gemma":[0.9989051,0.0006301652,0.00006070717,0.0001135981,0.0001907777,0.00009963637],"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":[0.0002060818,0.0001142372,0.002074458,0.0001757908,0.00008478666,0.0001465587,0.0001143512,0.9607177,0.003499921,0.01045252,0.01191665,0.01049706],"study_design_scores_gemma":[0.00004912069,0.00003332963,0.0001536534,0.00001026093,0.000009772202,0.00002034887,0.00001513222,0.9898949,0.001364768,0.001522767,0.00691621,0.000009830088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.2197894,0.001624128,0.6507446,0.001567183,0.0009082046,0.001193212,0.02073603,0.04150068,0.06193657],"genre_scores_gemma":[0.8046116,0.001275337,0.1687962,0.0005462707,0.0000845523,0.001048775,0.01216546,0.00205983,0.009412017],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.009549711,"threshold_uncertainty_score":0.01942986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122185387795515,"score_gpt":0.2294144354876832,"score_spread":0.2171958967081317,"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."}}