{"id":"W3083878797","doi":"10.1002/spe.2889","title":"Performance analysis of distributed storage clusters based on kernel and userspace traces","year":2020,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Tracing; Distributed computing; Scalability; Debugging; Replication (statistics); Queue; Parallel computing; Operating system; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00120324,0.0005066927,0.0003887266,0.001551394,0.0004388443,0.0009327857,0.0007164163,0.0003779727,0.0008792703],"category_scores_gemma":[0.004467714,0.0002179318,0.0003323146,0.001389973,0.0005597427,0.0008002635,0.0005907583,0.0005369927,0.0001413233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239749,"about_ca_system_score_gemma":0.0007541509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00717396,"about_ca_topic_score_gemma":0.00239416,"domain_scores_codex":[0.9992458,0.0001722647,0.00004126462,0.0001231985,0.000308319,0.0001092708],"domain_scores_gemma":[0.9957272,0.001927046,0.0004083705,0.0008173363,0.0009072524,0.0002129404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001246579,0.0003503203,0.07176346,0.00012515,0.0001343786,0.0003100876,0.0007942229,0.8216031,0.03791507,0.006426865,0.001281195,0.05804962],"study_design_scores_gemma":[0.000008193092,0.00009060287,0.006319528,0.00000321979,0.00001000915,0.00003247296,0.00006510141,0.9847051,0.007857107,0.0006739693,0.0002251084,0.000009545865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745346,0.00007144493,0.02222207,0.00005207619,0.000007544603,0.00002150262,0.0001461743,0.001668169,0.001276238],"genre_scores_gemma":[0.9963857,0.00001420081,0.003279146,0.000002254244,0.000001852142,0.000007442855,0.0001133454,0.00003974468,0.0001562193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00717396,"threshold_uncertainty_score":0.0142644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01896403816792503,"score_gpt":0.2719575905685418,"score_spread":0.2529935524006168,"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."}}