{"id":"W2215894583","doi":"","title":"Scalable algorithms for QoS-aware virtual network mapping for cloud services","year":2014,"lang":"en","type":"article","venue":"Ghent University Academic Bibliography (Ghent University)","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Cloud computing; Computer science; Network virtualization; Provisioning; Distributed computing; Quality of service; Scalability; Resilience (materials science); Computer network; Virtualization; Virtual network; Virtual machine; Database; 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":["metaepi_narrow","bibliometrics","sts"],"consensus_categories":[],"category_scores_codex":[0.0007474442,0.0004895182,0.0005469756,0.009952666,0.001358404,0.0001659838,0.00315151,0.0006037168,0.00001625007],"category_scores_gemma":[0.00001114168,0.0005971884,0.0007390876,0.0229555,0.0001918386,0.001668303,0.0009707905,0.0005935249,0.00001486754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001259099,"about_ca_system_score_gemma":0.00007608954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001070585,"about_ca_topic_score_gemma":0.0000201265,"domain_scores_codex":[0.996506,0.0001929423,0.000326938,0.001223029,0.0004883036,0.001262763],"domain_scores_gemma":[0.9972051,0.0007851797,0.0003994772,0.0007349208,0.0003789951,0.000496279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009046354,0.0004000578,0.07250591,0.000567189,0.001199724,0.00006228795,0.001355435,0.0203068,0.0001175389,0.4841057,0.3933329,0.02514181],"study_design_scores_gemma":[0.003357801,0.0003968438,0.003097042,0.0002512868,0.0001892129,0.000005522174,0.0009595112,0.08014319,0.00002700929,0.004215179,0.9064727,0.0008846407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008436688,0.0003164443,0.9854317,0.0009591848,0.001998685,0.0009655321,0.0001125863,0.0007747868,0.001004347],"genre_scores_gemma":[0.5989122,0.02903438,0.335649,0.008305893,0.0116663,0.00002719033,0.00108331,0.0003758433,0.01494587],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6497827,"threshold_uncertainty_score":0.9999417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019932373420933,"score_gpt":0.2106558718439372,"score_spread":0.1907234984230042,"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."}}