{"id":"W2557853356","doi":"","title":"Publisher Relocation Algorithms for Minimizing Average Delivery Delay and System Load","year":2009,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"PlanetLab; Computer science; Testbed; Exploit; Computer network; Relocation; Scheduling (production processes); Distributed computing; Queuing delay; Load balancing (electrical power); Queueing theory; Real-time computing; Algorithm; Scalability; Mathematical optimization; Operating system; Grid; Computer security","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":[0.0003971358,0.0001330914,0.000151628,0.0001387278,0.000120925,0.0004332319,0.0006986443,0.0001088579,6.441594e-7],"category_scores_gemma":[0.00008325987,0.0001190426,0.00003343631,0.0004091641,0.00001741901,0.0008816294,0.0001942089,0.00007897706,0.00001230028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501003,"about_ca_system_score_gemma":0.00004993916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003401033,"about_ca_topic_score_gemma":0.0000142808,"domain_scores_codex":[0.9987831,0.00001695731,0.0002099857,0.0004425908,0.0002357004,0.000311706],"domain_scores_gemma":[0.9990513,0.00008781722,0.00005671269,0.0005065389,0.0002187058,0.00007887672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001182452,0.00003441767,0.0001154666,0.00003034747,0.00001872224,0.00001726537,0.0004250636,0.0006627229,0.0003360239,0.06434685,0.1045832,0.8294181],"study_design_scores_gemma":[0.001037699,0.0005473474,0.003296982,0.0001450517,0.00001751751,0.000145083,0.0003323634,0.9518497,0.001986012,0.009762134,0.03010946,0.0007706785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009755087,0.0002471328,0.9791448,0.004756266,0.0004079804,0.0003581695,7.308124e-7,0.001237842,0.004092047],"genre_scores_gemma":[0.5578401,0.000006994916,0.4406322,0.0006167071,0.00004470585,0.0000290504,0.000001493821,0.000005506974,0.0008232083],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.951187,"threshold_uncertainty_score":0.4854416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889584997518255,"score_gpt":0.237799478006937,"score_spread":0.2189036280317544,"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."}}