{"id":"W2949608614","doi":"10.48550/arxiv.1611.08086","title":"Online Scaling of NFV Service Chains across Geo-distributed Datacenters","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Virtual network; Provisioning; Software deployment; Distributed computing; Online algorithm; Competitive analysis; Service (business); Cloud computing; Computer network; Algorithm; Operating system","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":[0.001641648,0.001078974,0.001046373,0.000497478,0.0009317319,0.001117582,0.001691438,0.001015331,0.002859366],"category_scores_gemma":[0.007200916,0.0004575736,0.0004047193,0.0005372654,0.0007865446,0.001767339,0.001967317,0.001340714,0.0004122537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701841,"about_ca_system_score_gemma":0.001444142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005441442,"about_ca_topic_score_gemma":0.004954407,"domain_scores_codex":[0.9990513,0.0002478003,0.00003388471,0.0002472901,0.0001991418,0.0002205666],"domain_scores_gemma":[0.9973972,0.001361399,0.0003135201,0.0003197733,0.0002901911,0.0003179002],"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":[0.0001082638,0.00008869835,0.001010278,0.0000481637,0.00001250534,0.00006387826,0.00006080292,0.9500369,0.002359792,0.004988767,0.001361229,0.03986063],"study_design_scores_gemma":[0.000005395947,0.00001692036,0.00006005362,0.000002084897,0.000001364282,0.0000104988,0.00001677998,0.9971586,0.000302183,0.002234873,0.0001894076,0.000001762917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1670881,0.0003976276,0.8236166,0.0007899561,0.0001200075,0.0001874119,0.0001514706,0.001526225,0.006122594],"genre_scores_gemma":[0.8947498,0.0001194089,0.1034274,0.0001169991,0.00003207938,0.00009965521,0.0001769791,0.0001009947,0.00117667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005441442,"threshold_uncertainty_score":0.01234782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0823998626152593,"score_gpt":0.2135625798493095,"score_spread":0.1311627172340502,"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."}}