{"id":"W2027588582","doi":"10.1109/surv.2011.122811.00060","title":"Resource Discovery and Allocation in Network Virtualization","year":2012,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Network virtualization; Virtualization; Resource allocation; Virtual network; Computer network; Data virtualization; The Internet; Virtual machine; Distributed computing; Cloud computing; World Wide Web; Operating system","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":[0.00574357,0.0001523727,0.0002309054,0.0001083645,0.0002797345,0.0002466586,0.001192652,0.000118823,0.00000256111],"category_scores_gemma":[0.0003401695,0.0001560418,0.00003543898,0.0008909516,0.0001097179,0.001485436,0.0004719039,0.0001741682,0.00001886467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007739883,"about_ca_system_score_gemma":0.00005614296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002419067,"about_ca_topic_score_gemma":0.0002601671,"domain_scores_codex":[0.9962934,0.002426897,0.0004611693,0.0002429528,0.0002040277,0.0003715907],"domain_scores_gemma":[0.9958007,0.001821061,0.0001878405,0.002013237,0.00008167844,0.00009551938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002020111,0.0006757418,0.243257,0.00002755233,0.00006945922,0.000001033137,0.00544944,0.009063378,0.0007345063,0.641695,0.02025903,0.0787477],"study_design_scores_gemma":[0.001751845,0.0001251868,0.6411255,0.0002886352,0.00005036815,0.00002180475,0.0001826292,0.03397423,0.0004390612,0.01611374,0.3045223,0.001404697],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03165544,0.006337988,0.9554493,0.001315945,0.002920187,0.00049048,0.000007860823,0.000288325,0.001534412],"genre_scores_gemma":[0.9860437,0.0007934083,0.01187455,0.0002141642,0.0007641063,0.00007497145,0.00006269284,0.00001766193,0.0001547434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9543883,"threshold_uncertainty_score":0.6363199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04473617511079041,"score_gpt":0.286788131052231,"score_spread":0.2420519559414406,"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."}}