{"id":"W2144208711","doi":"10.1016/j.comnet.2013.12.006","title":"Provisioning high-availability datacenter networks for full bandwidth communication","year":2014,"lang":"en","type":"article","venue":"Computer Networks","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Communications Research Centre Canada; Carleton University","funders":"","keywords":"Computer science; Network topology; Server; Bandwidth (computing); Computer network; Provisioning; Upgrade; Distributed computing; Load balancing (electrical power); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015396,0.0002909871,0.0003443026,0.0000816475,0.0005499655,0.0005638559,0.002309648,0.0001372954,0.000005390632],"category_scores_gemma":[0.00002716627,0.0002602965,0.0001499804,0.0003307665,0.00007978539,0.00009749328,0.002136239,0.000341162,0.00001454969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006354472,"about_ca_system_score_gemma":0.0000145345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000178242,"about_ca_topic_score_gemma":0.000008988241,"domain_scores_codex":[0.997499,0.0003287714,0.0004983744,0.0008214215,0.0002391526,0.000613227],"domain_scores_gemma":[0.9965618,0.000659156,0.0002385048,0.00224235,0.0001425165,0.0001557351],"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":[0.00001550178,0.00007749584,0.000322683,0.00001943077,0.00002814172,6.426062e-7,0.0000857577,0.6494561,5.731123e-7,0.01198453,0.02066498,0.3173442],"study_design_scores_gemma":[0.0007049076,0.000195327,0.001687359,0.000104385,0.00001379104,0.000004688901,0.000002532458,0.9471322,0.000002154476,0.001120764,0.04873633,0.0002956078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007981259,0.0003133327,0.9877524,0.001037482,0.001499364,0.0006024216,8.685679e-7,0.0005109165,0.000301901],"genre_scores_gemma":[0.7859884,0.00001425163,0.211155,0.001309065,0.001252841,0.00004716017,0.0000509579,0.00002788581,0.0001545112],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7780071,"threshold_uncertainty_score":0.9999849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105910381489738,"score_gpt":0.2220107395237908,"score_spread":0.211419701374817,"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."}}