{"id":"W3003604480","doi":"10.1109/iscc47284.2019.8969756","title":"Distributed Parallel VN Embedding Based on Genetic Algorithm","year":2019,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Network virtualization; Computer science; Embedding; Virtualization; Distributed computing; Resource allocation; Virtual network; Distributed algorithm; Computation; Parallel algorithm; Resource (disambiguation); Genetic algorithm; Parallel computing; Algorithm; Computer network; Cloud computing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001055715,0.0001425142,0.0001476502,0.00005635322,0.00006401225,0.0001495431,0.0005698746,0.00006396407,0.0001929475],"category_scores_gemma":[0.00001353939,0.0001159441,0.00007144128,0.0003248437,0.0000120088,0.0001253576,0.0001109882,0.0001087705,0.0006121807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003170287,"about_ca_system_score_gemma":0.00003770668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002007047,"about_ca_topic_score_gemma":9.829773e-7,"domain_scores_codex":[0.9988159,0.0000335671,0.0001595292,0.0004004443,0.0002585742,0.0003319698],"domain_scores_gemma":[0.9989853,0.0001810208,0.00004502894,0.0006497688,0.0000375217,0.0001013655],"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":[0.0000198157,0.0002561245,0.01251853,0.00002097647,0.00003423476,0.00007126363,0.00008075655,0.5407622,0.00003807679,0.01452211,0.03570618,0.3959697],"study_design_scores_gemma":[0.0004690091,0.0001165788,0.008766728,0.00001675504,0.000002273465,0.000003305877,0.000002891483,0.9837829,0.00004735116,0.000676233,0.005936341,0.0001796745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002594589,0.00004222794,0.993841,0.0004892761,0.0004423773,0.0001518044,0.000004899686,0.0003607932,0.002073025],"genre_scores_gemma":[0.334566,0.000006330227,0.6623677,0.002069177,0.0001054275,0.00001593508,0.00002092858,0.00001544315,0.0008330401],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4430206,"threshold_uncertainty_score":0.7868549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008278278202763,"score_gpt":0.2263582762006688,"score_spread":0.2180799979979058,"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."}}