{"id":"W1966570738","doi":"10.1109/infcom.2012.6195470","title":"REWIRE: An optimization-based framework for unstructured data center network design","year":2012,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Data center; Network topology; Computer network; Distributed computing; Network planning and design; Latency (audio); Steiner tree problem; Bandwidth (computing); Server; Backbone network; Mathematical optimization; Mathematics; Telecommunications","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":[0.0007335146,0.0001431323,0.0001272547,0.00004036244,0.0002405763,0.0002034198,0.001795062,0.00007592057,0.0000452649],"category_scores_gemma":[0.00006249775,0.0001152566,0.00003690325,0.0002995881,0.00002216425,0.0001046903,0.0004921265,0.00008884209,0.000007033111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002168209,"about_ca_system_score_gemma":0.00002717614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004967623,"about_ca_topic_score_gemma":7.09543e-7,"domain_scores_codex":[0.9985875,0.0001131072,0.0001908089,0.0004219641,0.0001915337,0.0004951145],"domain_scores_gemma":[0.9977475,0.000288911,0.00008275659,0.001683499,0.00004124184,0.00015604],"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":[0.00000738302,0.00006327919,0.0003114815,0.000006442914,0.00001468831,3.486576e-7,0.00007510671,0.9452094,2.529492e-7,0.02779263,0.008899989,0.01761897],"study_design_scores_gemma":[0.0002544185,0.00004475075,0.0001077439,0.00001918642,0.000009017844,0.000001397034,0.000008376386,0.9832678,0.00001004216,0.002236741,0.01387083,0.0001697263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006976131,0.00006893423,0.9967473,0.0009870909,0.0009955988,0.000364941,0.000002990898,0.000327604,0.0004357658],"genre_scores_gemma":[0.06988989,6.535105e-7,0.9271972,0.00194211,0.0007610203,0.00001081364,0.00003923168,0.00001477838,0.0001443256],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06982013,"threshold_uncertainty_score":0.4700028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05919325520198537,"score_gpt":0.2866943771768077,"score_spread":0.2275011219748224,"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."}}