{"id":"W2553156561","doi":"10.1002/nem.1957","title":"Fast failure detection and recovery in SDN with stateful data plane","year":2016,"lang":"en","type":"article","venue":"International Journal of Network Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Seventh Framework Programme","keywords":"Stateful firewall; Computer science; OpenFlow; Forwarding plane; Failover; Computer network; Network packet; Software-defined networking; Distributed computing; Pipeline (software); Overhead (engineering); Latency (audio); 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":[0.001223367,0.0004156033,0.0002982233,0.0004810734,0.000321756,0.0006315627,0.0007868704,0.0002813307,0.0007908839],"category_scores_gemma":[0.002427825,0.0002198515,0.0002842655,0.0002824154,0.0006342149,0.001092081,0.0006533658,0.0005209863,0.00008537621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007874467,"about_ca_system_score_gemma":0.0008264903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003189557,"about_ca_topic_score_gemma":0.001833844,"domain_scores_codex":[0.9993861,0.0001510342,0.00005444325,0.00008141765,0.0002166533,0.0001102981],"domain_scores_gemma":[0.9981895,0.0007575083,0.0001953281,0.0003970642,0.0003723466,0.00008824057],"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":[0.001360543,0.0003351387,0.01365227,0.0002254686,0.0001095769,0.000326049,0.0002860336,0.7974305,0.06665795,0.01819497,0.002262896,0.09915868],"study_design_scores_gemma":[0.0000218351,0.00009639188,0.000500623,0.000005241432,0.00001360411,0.0000248965,0.00001309799,0.9830356,0.01297915,0.002766444,0.0005349544,0.000008266986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5916375,0.0002565907,0.4008658,0.0001837044,0.00006241063,0.00008195746,0.000133843,0.004148177,0.00263002],"genre_scores_gemma":[0.982439,0.00003484754,0.01709389,0.0000203044,0.000005018656,0.00002377883,0.00005163775,0.00003104179,0.0003004042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003189557,"threshold_uncertainty_score":0.006469905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097896749643747,"score_gpt":0.2221286530162478,"score_spread":0.2111496855198103,"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."}}