{"id":"W2399443652","doi":"10.1109/drcn.2016.7470845","title":"Protection plan design for cloud tenants with bandwidth guarantees","year":2016,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Backup; Computer science; Cloud computing; Provisioning; Data center; Scalability; Distributed computing; Bandwidth (computing); Computer network; Redundancy (engineering); 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":[],"consensus_categories":[],"category_scores_codex":[0.0003187738,0.0001056642,0.00009686698,0.00006107252,0.0001470039,0.00007661193,0.0004006289,0.00002773003,0.00000445457],"category_scores_gemma":[0.00001676349,0.00004676638,0.00003357762,0.0001335208,0.00002394321,0.0000282335,0.00009127952,0.00002837868,0.0000246179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002425212,"about_ca_system_score_gemma":0.00001989298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001540436,"about_ca_topic_score_gemma":0.000005037204,"domain_scores_codex":[0.9991187,0.00003819384,0.0001133583,0.0003170682,0.0001606879,0.0002520124],"domain_scores_gemma":[0.9994465,0.00009390037,0.0000523598,0.0003208004,0.00004352503,0.00004297918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002504087,0.0001735841,0.0003099566,0.00005664959,0.0001086844,0.00001628164,0.0006129272,0.003995571,0.002739958,0.03081504,0.01180329,0.9491177],"study_design_scores_gemma":[0.008308278,0.004943678,0.003221783,0.0007684216,0.0000462878,0.0001415292,0.0001456375,0.784451,0.04486411,0.01767136,0.1339621,0.001475869],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01771455,0.000010104,0.9782108,0.002234218,0.000230684,0.0005896764,4.182669e-7,0.0003177038,0.0006918445],"genre_scores_gemma":[0.9068313,0.000001330532,0.08542968,0.0001773793,0.0001701205,0.0000846287,1.157145e-7,0.00001067233,0.007294825],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9476418,"threshold_uncertainty_score":0.1907078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03115713486570488,"score_gpt":0.2191554087133224,"score_spread":0.1879982738476175,"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."}}