{"id":"W2424981254","doi":"10.1109/ifipnetworking.2016.7497249","title":"Connectivity-aware virtual network embedding","year":2016,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Network virtualization; Computer science; Embedding; Heuristics; Heuristic; Virtual network; Distributed computing; Constraint (computer-aided design); Set (abstract data type); Virtualization; Embedding problem; Mathematical optimization; Computer network; Theoretical computer science; Mathematics; Cloud computing; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002666778,0.0001333751,0.000153083,0.00003597484,0.0001491058,0.0001031898,0.0005720268,0.00006874952,0.0001637652],"category_scores_gemma":[0.0000551199,0.00008138055,0.00006720388,0.000305115,0.00003223567,0.0004765119,0.0003204997,0.00007056101,0.0002961079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003221853,"about_ca_system_score_gemma":0.00003504339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001131603,"about_ca_topic_score_gemma":0.00001579851,"domain_scores_codex":[0.9987884,0.00005357757,0.0001513617,0.0003863172,0.0001844694,0.0004358295],"domain_scores_gemma":[0.9986047,0.0006801584,0.00004894959,0.0005032331,0.00004769352,0.0001153192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008993666,0.00003772328,0.008551459,0.000002295087,0.0000275267,0.00002513526,0.00009347225,0.001617877,0.00009348997,0.4744834,0.0790155,0.4360431],"study_design_scores_gemma":[0.00529028,0.001459721,0.02866115,0.0006470999,0.00003675688,0.0002225278,0.0001040889,0.5103649,0.002813616,0.1668122,0.2802219,0.003365858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007729865,0.00005840805,0.9860357,0.00139113,0.0008986176,0.00007084852,8.266264e-7,0.0006571591,0.003157436],"genre_scores_gemma":[0.9813974,0.00001805633,0.01499872,0.001015962,0.0005172428,0.00001068199,3.952953e-7,0.00001186577,0.002029604],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9736676,"threshold_uncertainty_score":0.3805967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253555779175692,"score_gpt":0.2369481391296828,"score_spread":0.2244125813379259,"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."}}