{"id":"W2093615050","doi":"10.1016/j.jpdc.2010.04.001","title":"Dynamic balancing of communication and computation load for HLA-based simulations on large-scale distributed systems","year":2010,"lang":"en","type":"article","venue":"Journal of Parallel and Distributed Computing","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computation; Distributed computing; Load balancing (electrical power); Scale (ratio); Parallel computing; Algorithm","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":[0.00119683,0.0002873827,0.0005575162,0.000329591,0.0008973886,0.0011075,0.0009520222,0.0005470557,0.002067629],"category_scores_gemma":[0.004631679,0.0003112093,0.000178313,0.0004161284,0.0006075565,0.001210804,0.001060951,0.0007212022,0.0002956238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005929419,"about_ca_system_score_gemma":0.0008607337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002780666,"about_ca_topic_score_gemma":0.002309557,"domain_scores_codex":[0.9994998,0.0002378077,0.00002675451,0.00004577334,0.000115624,0.00007420719],"domain_scores_gemma":[0.9983285,0.0008191266,0.0001177843,0.00024167,0.000274324,0.0002185213],"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":[0.0008078251,0.0001985344,0.004167204,0.00003479029,0.00003611231,0.000102355,0.0002068094,0.9462542,0.01343161,0.006590394,0.00125298,0.02691716],"study_design_scores_gemma":[0.00002605446,0.00002025133,0.0003180474,0.000001229953,0.000003324577,0.000006488902,0.00003224832,0.9974534,0.0008977802,0.001051623,0.0001860547,0.000003581107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7813573,0.0002281909,0.2058353,0.001084038,0.0001401103,0.00008364995,0.00007608936,0.0009833374,0.01021204],"genre_scores_gemma":[0.9920359,0.00002053066,0.007431124,0.00002784419,0.000008790469,0.00002076705,0.00002444894,0.000041228,0.0003894594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002780666,"threshold_uncertainty_score":0.006916881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122417790204031,"score_gpt":0.2773900201079655,"score_spread":0.2651482410875625,"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."}}