{"id":"W2365345367","doi":"10.1109/isit.2016.7541297","title":"On storage allocation for maximum service rate in distributed storage systems","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Probabilistic logic; Replication (statistics); Service (business); Distributed data store; Exponential distribution; Computer data storage; Access time; Distributed computing; Storage efficiency; Computer network; Database; Operating system; Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007455289,0.001477257,0.001969378,0.001726674,0.001198117,0.002565688,0.002196068,0.001716604,0.003087676],"category_scores_gemma":[0.04445462,0.0006559123,0.001221784,0.001913482,0.003164995,0.00566218,0.002902145,0.002653372,0.0007768805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003132788,"about_ca_system_score_gemma":0.001517156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553789,"about_ca_topic_score_gemma":0.0005174732,"domain_scores_codex":[0.9946612,0.002562907,0.0002380399,0.0006573496,0.00114785,0.0007325555],"domain_scores_gemma":[0.9699866,0.02439772,0.00137351,0.001628367,0.002158758,0.0004551343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004993681,0.0001489096,0.001149139,0.0006337655,0.00009031557,0.000245537,0.000495906,0.4356428,0.01865196,0.5012406,0.002449533,0.03875219],"study_design_scores_gemma":[0.00003519824,0.000136183,0.0004546186,0.0001224783,0.00005070529,0.0002530306,0.00009570373,0.821543,0.005483736,0.1697509,0.002023236,0.00005114617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05488825,0.005180122,0.9275393,0.001522218,0.0001338384,0.0001099947,0.00008753694,0.0003691645,0.01016958],"genre_scores_gemma":[0.9014497,0.005470745,0.08734731,0.0004547579,0.0005634452,0.000354573,0.00009278693,0.0005231007,0.003743613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007455289,"threshold_uncertainty_score":0.03942782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675906941829654,"score_gpt":0.2708120462032406,"score_spread":0.2440529767849441,"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."}}