{"id":"W3144080483","doi":"10.1109/noms54207.2022.9789791","title":"Resource Management in Softwarized Networks","year":2022,"lang":"en","type":"article","venue":"NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Network management; Scalability; Network architecture; Computer network; Software-defined networking; Resource management (computing); Distributed computing; Resource allocation; Network monitoring; Survivability","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":[0.001011517,0.0003795604,0.0004491121,0.0004521049,0.0007471495,0.00289138,0.001210014,0.0004977189,0.001298525],"category_scores_gemma":[0.002010588,0.0003141931,0.000231005,0.0005597915,0.001400161,0.004126909,0.002041213,0.001264423,0.0002260713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001449976,"about_ca_system_score_gemma":0.001089729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00233377,"about_ca_topic_score_gemma":0.002536803,"domain_scores_codex":[0.9991117,0.0002394735,0.00004858565,0.0002183003,0.0002221955,0.0001596204],"domain_scores_gemma":[0.9988808,0.0004021322,0.0001489424,0.0003481584,0.0001313582,0.00008856683],"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":[0.0002601797,0.00009857205,0.001723651,0.0001701637,0.0000682857,0.0002668219,0.0008763381,0.5206157,0.0247571,0.2797455,0.0030194,0.1683983],"study_design_scores_gemma":[0.00001994687,0.00007844577,0.000721639,0.00003849391,0.00002020954,0.0000702298,0.0003117099,0.8394793,0.006133599,0.1376847,0.01541062,0.00003105069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1471089,0.001817115,0.8358781,0.00131701,0.0001412539,0.0001147283,0.0001002856,0.0008992443,0.01262339],"genre_scores_gemma":[0.8914803,0.001001723,0.1029371,0.0002700283,0.0001042645,0.0001319419,0.00007813703,0.00007195897,0.003924468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00289138,"threshold_uncertainty_score":0.01052034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007350985463917005,"score_gpt":0.2085620307928912,"score_spread":0.2012110453289742,"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."}}