{"id":"W4286905599","doi":"10.48550/arxiv.2110.06060","title":"Downtime-Aware O-RAN VNF Deployment Strategy for Optimized Self-Healing\\n in the O-Cloud","year":2021,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Western University","funders":"","keywords":"Cloud computing; Computer science; Downtime; Software deployment; Radio access network; C-RAN; Quality of service; Vendor; Computer network; Distributed computing; Base station; 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":[0.0004122584,0.0007163436,0.0005855486,0.0003020914,0.0005291922,0.000895561,0.0009117494,0.0006544493,0.001629326],"category_scores_gemma":[0.0008124804,0.0002251949,0.000305213,0.0002358746,0.0004502122,0.000633759,0.0007249926,0.000535437,0.0001700729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000846266,"about_ca_system_score_gemma":0.001045741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007020114,"about_ca_topic_score_gemma":0.007132465,"domain_scores_codex":[0.9997746,0.00005016894,0.000005459721,0.00004154347,0.0000395183,0.00008859006],"domain_scores_gemma":[0.9997814,0.00006917348,0.00004429294,0.00001456641,0.00005534976,0.00003520947],"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":[0.00005668813,0.00002621069,0.00037277,0.00002597444,0.00001126574,0.00007320251,0.00002391345,0.9838563,0.002847611,0.004011324,0.0008886437,0.007806075],"study_design_scores_gemma":[0.000002705568,0.0000159181,0.00006154316,0.000002564856,0.000004220646,0.00001183728,0.00001456775,0.998928,0.0002163043,0.0005798559,0.0001604262,0.00000202644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1112364,0.0008285359,0.8686657,0.0006439808,0.0001421842,0.00009171122,0.00009178717,0.0003173867,0.01798232],"genre_scores_gemma":[0.9804146,0.0001870835,0.01745551,0.00006709492,0.00001690063,0.00002895135,0.00002833947,0.00002321772,0.001778258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007020114,"threshold_uncertainty_score":0.01395851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05380011735606709,"score_gpt":0.2036126520952009,"score_spread":0.1498125347391338,"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."}}