{"id":"W4297917719","doi":"10.48550/arxiv.1806.04580","title":"Online VNF Placement and Chaining for Value-added Services in Content\\n Delivery Networks","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Virtual network; Provisioning; Computer network; Chaining; Content delivery network; Control reconfiguration; Quality of service; Distributed computing; Server","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":[0.001585934,0.001283417,0.001193325,0.001081918,0.001414968,0.00306162,0.002620048,0.001839001,0.00601622],"category_scores_gemma":[0.006234667,0.0009052705,0.0008595265,0.001587016,0.0009731019,0.003284392,0.002538662,0.001231707,0.000847399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002991649,"about_ca_system_score_gemma":0.001921147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01039892,"about_ca_topic_score_gemma":0.0109877,"domain_scores_codex":[0.9982845,0.000457316,0.00007652112,0.0004041575,0.0003408063,0.0004366552],"domain_scores_gemma":[0.9977894,0.000996772,0.0003469903,0.0003406423,0.0002634705,0.0002627536],"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":[0.0001375645,0.0001301443,0.001831384,0.0001905592,0.00002848364,0.0003800442,0.000146423,0.8501814,0.003839209,0.0385119,0.003599347,0.1010236],"study_design_scores_gemma":[0.000005875342,0.00005249707,0.000323778,0.00002660698,0.00001394683,0.0001282512,0.0001022061,0.9865428,0.001143913,0.009119383,0.002525966,0.00001481769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08440624,0.000923195,0.9032611,0.0005450707,0.0002237761,0.0002584259,0.0002421797,0.0005197945,0.009620345],"genre_scores_gemma":[0.7773979,0.0009468015,0.2134501,0.000092095,0.00008600907,0.0001283816,0.0003347587,0.0002201473,0.007343799],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01039892,"threshold_uncertainty_score":0.02170604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09967209607776854,"score_gpt":0.1943283735807596,"score_spread":0.09465627750299101,"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."}}