{"id":"W2038021311","doi":"10.1109/tnet.2014.2312928","title":"Decomposition Approaches for Virtual Network Embedding With One-Shot Node and Link Mapping","year":2014,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Networking","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Network virtualization; Embedding; Heuristic; Node (physics); Network topology; Virtualization; Distributed computing; Virtual network; Computer network; Cloud computing; Artificial intelligence","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":[0.001204691,0.001448659,0.001013904,0.0008649329,0.0005068516,0.001300773,0.001518813,0.0009174682,0.005068011],"category_scores_gemma":[0.00281844,0.0006494428,0.001049104,0.00123832,0.0007707333,0.00189837,0.001742916,0.001548749,0.0007165761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106765,"about_ca_system_score_gemma":0.001034169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002030503,"about_ca_topic_score_gemma":0.002155001,"domain_scores_codex":[0.9991766,0.0003787471,0.00003074146,0.0001238752,0.0001739971,0.0001160658],"domain_scores_gemma":[0.9987457,0.0007580833,0.0001055902,0.000180747,0.0001323188,0.00007760951],"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":[0.00005363002,0.00008708723,0.0001908234,0.0001415477,0.00003961594,0.00006776089,0.0000692067,0.8815945,0.002028421,0.05882118,0.002056203,0.05485],"study_design_scores_gemma":[0.000004154481,0.00002018804,0.00002562923,0.00000695685,0.000004992333,0.00001971883,0.00001290529,0.9812179,0.000296974,0.01769432,0.000692338,0.000004049451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002992948,0.0001626295,0.9945889,0.00005913521,0.00002309014,0.00003413191,0.0000318368,0.0001056137,0.002001724],"genre_scores_gemma":[0.2922329,0.0007232344,0.7011955,0.0001257026,0.00006950224,0.00032393,0.0003030788,0.0002157001,0.004810445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005068011,"threshold_uncertainty_score":0.01695418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07766406967826003,"score_gpt":0.269455083827348,"score_spread":0.191791014149088,"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."}}