{"id":"W2062012755","doi":"10.1109/glocom.2011.6134496","title":"On Resilience of Split-Architecture Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada)","funders":"","keywords":"Resilience (materials science); Computer science; Forwarding plane; Architecture; Distributed computing; Controller (irrigation); Set (abstract data type); Reliability (semiconductor); Software deployment; Computer network; Topology (electrical circuits); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001220924,0.0005864844,0.000519167,0.001303077,0.0006663558,0.00107328,0.0006471851,0.0006754356,0.001744099],"category_scores_gemma":[0.008253518,0.0002767372,0.0003387134,0.0008229046,0.001900857,0.002386387,0.001363838,0.0009058336,0.0002035265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260572,"about_ca_system_score_gemma":0.0004394373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001222607,"about_ca_topic_score_gemma":0.000755342,"domain_scores_codex":[0.9990692,0.000354563,0.00003569016,0.0001212454,0.0002637239,0.0001556484],"domain_scores_gemma":[0.9943336,0.00410466,0.0005014198,0.0004514429,0.0004358081,0.0001730357],"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":[0.0002853604,0.00002446077,0.00154786,0.0002008577,0.00006435921,0.000260894,0.0003135789,0.8187872,0.01022412,0.1338303,0.001600277,0.03286067],"study_design_scores_gemma":[0.0000113484,0.0001289293,0.0007653987,0.00006697694,0.00003206581,0.0002286843,0.0001519877,0.8996255,0.004671539,0.09193204,0.002365263,0.00002023874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2551579,0.005445096,0.723068,0.002277635,0.0001611095,0.00008474442,0.0001737062,0.0004001301,0.01323169],"genre_scores_gemma":[0.9760454,0.002012142,0.02052745,0.00011025,0.00007640738,0.00004315178,0.00005580602,0.00004938725,0.001079916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001744099,"threshold_uncertainty_score":0.009146154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155353606011371,"score_gpt":0.2047085524985301,"score_spread":0.189173191897393,"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."}}