{"id":"W2136795155","doi":"10.1109/tpds.2009.130","title":"On the Benefits of Cooperative Proxy Caching for Peer-to-Peer Traffic","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Parallel and Distributed Systems","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nokia (Canada); Simon Fraser University","funders":"","keywords":"Computer science; Computer network; Byte; Cache; False sharing; The Internet; Distributed computing; Peer-to-peer; Proxy (statistics); Internet traffic; Overhead (engineering); CPU cache; Cache algorithms; World Wide Web","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":[0.0003920653,0.0001746783,0.0002410598,0.00008272676,0.000381601,0.0001605149,0.0003092608,0.0000677841,0.000001247802],"category_scores_gemma":[0.00002641912,0.0001195532,0.0001053096,0.0002441798,0.00002356764,0.0001304507,0.000001458389,0.0001688119,0.000006711484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003539646,"about_ca_system_score_gemma":0.00003518849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005389825,"about_ca_topic_score_gemma":0.00001330866,"domain_scores_codex":[0.9987193,0.00008945062,0.0002800844,0.0003228348,0.0003631273,0.0002252138],"domain_scores_gemma":[0.9989086,0.0002923832,0.00007303008,0.0003270208,0.0002975573,0.0001013996],"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":[0.00009270425,0.0001625806,9.674555e-7,0.00001194486,0.00003533834,0.000001002506,0.0005037158,0.983958,0.0003062033,0.009536528,0.001651514,0.003739465],"study_design_scores_gemma":[0.001451037,0.001722774,0.0001506284,0.0002590658,0.00004783036,0.00003064505,0.0005111407,0.99352,0.0007154729,0.0001221994,0.001068719,0.0004004783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1244026,0.00007847355,0.8698784,0.004074029,0.0003585088,0.0006656647,0.0003914257,0.00007936428,0.0000715104],"genre_scores_gemma":[0.9988098,0.000005865277,0.0001249149,0.0002563912,0.00002836663,0.0001096728,0.00001443682,0.000006015231,0.0006445852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8744071,"threshold_uncertainty_score":0.4875239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616521068331229,"score_gpt":0.2469366942682497,"score_spread":0.2207714835849374,"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."}}