{"id":"W2947759080","doi":"10.1016/j.peva.2018.09.006","title":"Worst-case bounds and optimized cache on <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\" overflow=\"scroll\" id=\"d1e2260\" altimg=\"si453.gif\"><mml:mi>M</mml:mi></mml:math>th request cache insertion policies under elastic conditions","year":2018,"lang":"en","type":"article","venue":"Performance Evaluation","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Vetenskapsrådet","keywords":"Cache; Bandwidth (computing); Cloud computing; Online algorithm; CPU cache; Upper and lower bounds; Competitive analysis; Average cost","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":[0.009361381,0.002106903,0.001930473,0.002924348,0.00181272,0.005153146,0.003328071,0.001786934,0.01048052],"category_scores_gemma":[0.03760803,0.0008324371,0.0008572625,0.004880225,0.001854845,0.005489295,0.00196197,0.001672854,0.001668843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009076434,"about_ca_system_score_gemma":0.009892692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02760163,"about_ca_topic_score_gemma":0.03845059,"domain_scores_codex":[0.9841652,0.00420536,0.0008138277,0.001613391,0.004401563,0.004800616],"domain_scores_gemma":[0.9415887,0.03770392,0.003481207,0.007899008,0.007625383,0.001701851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003721118,0.0004339195,0.00284395,0.0003782309,0.0001502367,0.00012571,0.0001521584,0.9266325,0.004959615,0.01582532,0.01635648,0.02842073],"study_design_scores_gemma":[0.000120748,0.0003084257,0.001418701,0.00004402531,0.00008026514,0.00009046538,0.0001866439,0.9849526,0.005096043,0.006378357,0.001277904,0.00004581835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7559654,0.009050325,0.1337371,0.003411805,0.0005902037,0.0005315094,0.01167031,0.01039833,0.07464522],"genre_scores_gemma":[0.9596687,0.0006968968,0.031087,0.0002371364,0.0001111371,0.0001542292,0.002717016,0.0008016198,0.004526319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02760163,"threshold_uncertainty_score":0.06585443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03297753809922176,"score_gpt":0.2783680073841614,"score_spread":0.2453904692849396,"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."}}