{"id":"W4315630319","doi":"10.1109/globecom48099.2022.10001555","title":"Agile Design and Dimensioning of MEC-NFV Infrastructure to Support Heterogeneous Service Chains","year":2022,"lang":"en","type":"article","venue":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Virtual network; Dimensioning; Software deployment; Cloud computing; Virtualization; Distributed computing; Mobile edge computing; Service (business); Computer network; Agile software development; Server; Software engineering; Operating system; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007903862,0.0003093147,0.0004079619,0.0001645668,0.001301023,0.0001891908,0.004706816,0.00007239202,0.0001102697],"category_scores_gemma":[0.000060736,0.0003609245,0.00008649873,0.001842852,0.0001060616,0.000266135,0.007593579,0.0005110229,0.00003020134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003258494,"about_ca_system_score_gemma":0.0005033106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003371832,"about_ca_topic_score_gemma":0.00007053315,"domain_scores_codex":[0.9969513,0.000710044,0.0005915037,0.0006357323,0.0005729892,0.0005384617],"domain_scores_gemma":[0.9961648,0.0002401469,0.0003097748,0.002714457,0.0003218517,0.0002489809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003653244,0.001693243,0.01228888,0.0003413935,0.0008172024,0.0001990385,0.03212986,0.1607532,0.02854758,0.1472751,0.2205615,0.3950277],"study_design_scores_gemma":[0.001094335,0.001054285,0.003719656,0.00008303456,0.0000771629,0.0006597891,0.0007701144,0.8858911,0.001423058,0.0115055,0.09242658,0.001295349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2751602,0.001807536,0.6955506,0.009491968,0.007861054,0.00206139,0.0001919377,0.0007243791,0.007150947],"genre_scores_gemma":[0.9142523,0.00008842281,0.08327941,0.002004228,0.00007044867,0.0001179702,0.00006311626,0.00001808309,0.000106014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7251379,"threshold_uncertainty_score":0.9999992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04017603646917898,"score_gpt":0.2809988512533391,"score_spread":0.2408228147841601,"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."}}