{"id":"W3128136406","doi":"10.1109/cloudnet51028.2020.9335801","title":"Efficient Virtual Network Embedding with Node Ranking and Intelligent Link Mapping","year":2020,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Network virtualization; Computer science; Virtual network; Distributed computing; Node (physics); Embedding; Key (lock); Computer network; Virtualization; The Internet; Network topology; Heterogeneous network; Cloud computing; Wireless network; Artificial intelligence; Wireless","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":[0.0005135929,0.0009456348,0.0009974027,0.000908914,0.000704549,0.0008834233,0.001400221,0.000764673,0.00167297],"category_scores_gemma":[0.001867665,0.0003214359,0.0004892685,0.0009216444,0.0004930471,0.001606493,0.001057776,0.0006390188,0.0003547969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006225485,"about_ca_system_score_gemma":0.001156815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003173772,"about_ca_topic_score_gemma":0.003991613,"domain_scores_codex":[0.9993497,0.0001957236,0.00002625384,0.0001484338,0.0001730027,0.000106988],"domain_scores_gemma":[0.9992737,0.0002904929,0.00009839134,0.0001319708,0.000146486,0.00005892841],"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":[0.00007739447,0.0001360671,0.000911379,0.00006654581,0.00003076529,0.0001177659,0.00005816347,0.8249529,0.006294683,0.008919057,0.002023495,0.1564118],"study_design_scores_gemma":[0.000006281389,0.00002681034,0.0000803354,0.000002178127,0.00000588258,0.00004082424,0.00001611491,0.9956542,0.001008884,0.002692177,0.000461519,0.000004718004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05967757,0.0002782858,0.9347775,0.0001904267,0.0000857175,0.00009135091,0.00005925136,0.0008837006,0.0039562],"genre_scores_gemma":[0.7074616,0.0001826248,0.2883067,0.00008623236,0.00003538938,0.000111668,0.0002098697,0.0000810422,0.003524802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003173772,"threshold_uncertainty_score":0.006310582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068386253145259,"score_gpt":0.2208911065513009,"score_spread":0.2002072440198483,"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."}}