{"id":"W4200039109","doi":"10.1016/j.comcom.2021.12.020","title":"Survival backup strategy for controller placement problem in Software Defined Networking","year":2021,"lang":"en","type":"article","venue":"Computer Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Backup; Software-defined networking; Software; Computer network; Controller (irrigation); Distributed computing; Embedded system; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005025568,0.0008418105,0.001048243,0.0004647096,0.0007289141,0.0007446557,0.001121179,0.001105277,0.003649705],"category_scores_gemma":[0.00120547,0.000260028,0.0003677249,0.0005489196,0.0004292541,0.0008756709,0.0007829861,0.0007683618,0.0002237233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005266701,"about_ca_system_score_gemma":0.0006957431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001889319,"about_ca_topic_score_gemma":0.001318154,"domain_scores_codex":[0.9997354,0.0000775855,0.00001140373,0.00005736043,0.00004822818,0.00006988215],"domain_scores_gemma":[0.9996328,0.0001759717,0.00003127984,0.00002699964,0.00008406246,0.00004892605],"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":[0.000559466,0.0001865596,0.0008805715,0.0004553448,0.00008358336,0.0004489956,0.0001766684,0.7990214,0.01034587,0.03956297,0.01372397,0.1345546],"study_design_scores_gemma":[0.00002788154,0.0001103964,0.0001219307,0.00001494926,0.00001523288,0.00008221339,0.00006256737,0.9883341,0.0009534888,0.009622954,0.0006487119,0.000005573151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07183644,0.0008274657,0.9184303,0.0008899676,0.0003020635,0.0001349437,0.0001132324,0.0002995451,0.007166035],"genre_scores_gemma":[0.9327736,0.0003841917,0.06225973,0.0001292332,0.00009594356,0.00007946359,0.0001350117,0.00003568115,0.004107053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003649705,"threshold_uncertainty_score":0.01220948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07059500984703322,"score_gpt":0.294296578421895,"score_spread":0.2237015685748618,"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."}}