{"id":"W2146437106","doi":"10.1109/vecims.2009.5068873","title":"An adaptive dynamic load balancing for large scale distributed and virtual simulations","year":2009,"lang":"en","type":"article","venue":"Proceedings of the ... IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems./Proceedings of the ... IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Load balancing (electrical power); Distributed computing; Virtual machine; Distributed Computing Environment; Scale (ratio); Load management; Distributed algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002298301,0.00129479,0.001298362,0.0005687288,0.0008169634,0.001429273,0.004624275,0.0004101961,0.00001857353],"category_scores_gemma":[0.00007215606,0.001037985,0.0002948173,0.0002501026,0.0005567311,0.001629388,0.001194956,0.0008193998,0.00001064934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434321,"about_ca_system_score_gemma":0.00008359113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009189382,"about_ca_topic_score_gemma":0.00003379275,"domain_scores_codex":[0.9903054,0.0001005847,0.002138186,0.002179971,0.004310398,0.0009654323],"domain_scores_gemma":[0.9956608,0.00009176692,0.002114188,0.0006809991,0.00107186,0.0003803403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007424937,0.001818111,0.001272682,0.0002182626,0.001482588,0.000001887349,0.003830673,0.01464054,0.701269,0.2661926,0.002546003,0.005985198],"study_design_scores_gemma":[0.01030117,0.01878726,0.01724448,0.01355455,0.0005838809,0.0001187499,0.01032679,0.7837689,0.1311943,0.004203738,0.005663076,0.004253102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8702399,0.0001811285,0.1178727,0.001800703,0.004905947,0.00345424,0.0004949895,0.0002037794,0.0008465849],"genre_scores_gemma":[0.9971609,0.0001365781,0.0008664137,0.0002926109,0.0004412505,0.0002109969,0.00001840118,0.00007388307,0.0007989397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7691284,"threshold_uncertainty_score":0.9999804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06078628181045814,"score_gpt":0.2835923179067881,"score_spread":0.22280603609633,"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."}}