{"id":"W3144496592","doi":"10.1109/icin51074.2021.9385553","title":"VNF Placement Problem: A Multi-Tenant Intent-Based Networking Approach","year":2021,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cisco Systems (Canada); École de Technologie Supérieure","funders":"","keywords":"Computer science; Virtual network; Software deployment; Server; Cloud computing; Service (business); Network service; Network Functions Virtualization; Virtualization; Computer network; Distributed computing; Computer security; Operating 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":[0.00350941,0.002138156,0.001852762,0.001122573,0.001530506,0.002271207,0.003043733,0.003114299,0.005390902],"category_scores_gemma":[0.006287849,0.001020305,0.001549332,0.001351582,0.001216394,0.002995222,0.002570175,0.00230588,0.0006888857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001910729,"about_ca_system_score_gemma":0.002257284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006989464,"about_ca_topic_score_gemma":0.005998047,"domain_scores_codex":[0.9964629,0.001231934,0.0001756922,0.0007743578,0.0007531324,0.0006020791],"domain_scores_gemma":[0.9962575,0.00211146,0.0004170014,0.0003012721,0.0004663025,0.0004465277],"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":[0.0002571691,0.0002509584,0.002440069,0.0003579364,0.000123084,0.001024283,0.0003529243,0.860019,0.00352428,0.06397978,0.0103152,0.05735537],"study_design_scores_gemma":[0.00002514955,0.00008103375,0.0002654631,0.00002588634,0.00002512217,0.0001984296,0.0001337713,0.9724618,0.0004799012,0.02327146,0.003011793,0.00002019459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03345291,0.0007065809,0.9545496,0.00130329,0.0002579309,0.0003226369,0.0003468587,0.0004805902,0.008579569],"genre_scores_gemma":[0.4385025,0.0008743296,0.5470636,0.0007090146,0.0003247224,0.0003763002,0.001266535,0.000352138,0.01053088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006989464,"threshold_uncertainty_score":0.01855981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03517135219042596,"score_gpt":0.2387885329737365,"score_spread":0.2036171807833105,"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."}}