{"id":"W2098195139","doi":"10.1109/vecims.2008.4592758","title":"A microcell oriented load balancing model for collaborative virtual environments","year":2008,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Microcell; Computer science; Load balancing (electrical power); Overlay; Server; Distributed computing; Computer network; Context (archaeology); Round-robin DNS; Architecture; Network Load Balancing Services; Load management; Overlay network; Peer-to-peer; Context model; The Internet; Operating system; Engineering","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":[0.0006269018,0.0005571693,0.0004557171,0.000511652,0.0008869654,0.001778026,0.002466714,0.001158722,0.003212617],"category_scores_gemma":[0.001344933,0.0002183994,0.0003008231,0.0004222665,0.0009676744,0.001914219,0.001109371,0.0008065389,0.0007734402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489986,"about_ca_system_score_gemma":0.001058129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004725103,"about_ca_topic_score_gemma":0.004331722,"domain_scores_codex":[0.9991934,0.0001850386,0.00002285304,0.0001515065,0.000337609,0.0001096944],"domain_scores_gemma":[0.9994687,0.0001531543,0.00006254717,0.00008272068,0.0001579938,0.00007480164],"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":[0.00009200751,0.0001018616,0.0003625655,0.0000490688,0.00002094488,0.0001470388,0.0002491634,0.7435749,0.007594089,0.222252,0.002081177,0.0234751],"study_design_scores_gemma":[0.00001092279,0.00002997682,0.0000614871,0.000004124288,0.000005654695,0.00003665132,0.00002855211,0.9787418,0.0006882187,0.01709766,0.003285156,0.000009807817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02332571,0.0002005451,0.9650066,0.0003663183,0.00008034921,0.0001061241,0.00004590498,0.0002874972,0.0105809],"genre_scores_gemma":[0.8052989,0.0004409459,0.1726877,0.0002301829,0.0001591881,0.0003830763,0.00008902902,0.00010154,0.02060956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004725103,"threshold_uncertainty_score":0.01081061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018329268170754,"score_gpt":0.2240435785896199,"score_spread":0.2057143104188659,"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."}}