{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003929815,0.0008178342,0.0009394609,0.0006749057,0.0005980774,0.0006597601,0.001146645,0.0009785211,0.001748476],"category_scores_gemma":[0.001032304,0.0003410522,0.0006405737,0.0006736154,0.0005776145,0.0006094438,0.0006116547,0.0007253585,0.0002078966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008888333,"about_ca_system_score_gemma":0.001461433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00862625,"about_ca_topic_score_gemma":0.005949222,"domain_scores_codex":[0.9996998,0.0000689668,0.00001043307,0.00007714567,0.00009426357,0.00004933054],"domain_scores_gemma":[0.9996039,0.0002033016,0.00004223601,0.00003371046,0.00009265662,0.00002415694],"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":[0.00003352263,0.00004662357,0.000343873,0.0000259726,0.00002181579,0.00004020115,0.0000229967,0.9551878,0.001881997,0.003363936,0.0004236746,0.03860755],"study_design_scores_gemma":[0.000009300517,0.00001155831,0.00003667007,0.000001414953,0.000003796771,0.000009969266,0.000003764984,0.9986202,0.0002530312,0.0008912307,0.0001570343,0.000002162052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04769269,0.0002319804,0.9464288,0.0001873407,0.00007361864,0.00007809336,0.00002946547,0.0007398037,0.004538211],"genre_scores_gemma":[0.6215137,0.0002385327,0.3734755,0.0001181169,0.00003759026,0.0002700467,0.0001131205,0.00009140547,0.004142025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00862625,"threshold_uncertainty_score":0.01715207,"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."}}