{"id":"W2899050079","doi":"10.5555/3291168.3291173","title":"An analysis of network-partitioning failures in cloud systems","year":2018,"lang":"en","type":"article","venue":"UWSpace (University of Waterloo)","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Partition (number theory); Cloud computing; Distributed computing; Node (physics); Fault tolerance; Network partition; Fault (geology); Reliability engineering; 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":[0.0003738757,0.00007784406,0.0002522868,0.0003636467,0.0001261028,0.00003186083,0.000675376,0.00004392597,0.00001398217],"category_scores_gemma":[0.000003039718,0.00008463076,0.00008643459,0.001138113,0.000111978,0.00006284249,0.0002488374,0.00005508073,0.00000696814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003221588,"about_ca_system_score_gemma":0.00001199453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0424701,"about_ca_topic_score_gemma":0.01746138,"domain_scores_codex":[0.9991053,0.0001157609,0.0001175956,0.0002579528,0.0001911268,0.0002122025],"domain_scores_gemma":[0.9992315,0.00002827183,0.0001418511,0.0004572446,0.00008686929,0.00005427849],"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":[0.00002277363,0.0001253488,0.04672239,0.000042902,0.0003689092,0.00002634424,0.06934118,0.8646584,0.000308779,0.01581969,0.0006918174,0.00187147],"study_design_scores_gemma":[0.0002365659,0.0001556004,0.03331496,0.00005839795,0.0001054041,5.822864e-7,0.01272421,0.9527727,0.00006357444,0.00007457635,0.0003763905,0.0001170252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766505,0.00002820133,0.02244092,0.0004116154,0.0001536798,0.00006748627,0.000001150168,0.00005277994,0.0001936062],"genre_scores_gemma":[0.9921953,0.000001807803,0.004344392,0.00001121881,0.00006020285,7.392755e-8,0.000002260501,0.000002790493,0.003381932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08811431,"threshold_uncertainty_score":0.9743862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009089826073013358,"score_gpt":0.1968361374617334,"score_spread":0.18774631138872,"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."}}