{"id":"W1509551190","doi":"","title":"DCSim: A data centre simulation tool for evaluating dynamic virtualized resource management","year":2012,"lang":"en","type":"article","venue":"Conference on Network and Service Management","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Virtualization; Server; Cloud computing; Provisioning; Scalability; Virtual machine; Data center; Host (biology); Live migration; Resource management (computing); Distributed computing; Workload; Operating system","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"],"consensus_categories":[],"category_scores_codex":[0.001827916,0.0003545713,0.0003004675,0.0001356906,0.0005097887,0.00040372,0.001665206,0.00007048339,0.00001803261],"category_scores_gemma":[0.00001270242,0.0003308168,0.00005826723,0.0005290501,0.0000243131,0.0001319029,0.003090956,0.0001350254,0.00004262401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007051202,"about_ca_system_score_gemma":0.00001115168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005932876,"about_ca_topic_score_gemma":0.000009561355,"domain_scores_codex":[0.9969631,0.0001999857,0.0004566565,0.0009579061,0.0005528482,0.0008695059],"domain_scores_gemma":[0.9974828,0.0002352581,0.0002199528,0.001812303,0.00008670955,0.0001629272],"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":[0.00008485679,0.0001687213,0.000101317,0.0004322766,0.0002274301,0.000006250411,0.0008266139,0.2472518,0.000001688308,0.1651577,0.002386808,0.5833545],"study_design_scores_gemma":[0.001138769,0.00007530586,0.001251311,0.0002507205,0.0001222582,8.951243e-7,0.00060373,0.9048601,4.827543e-7,0.001596167,0.08972064,0.0003796032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03714549,0.0004713761,0.9040186,0.007425082,0.001039798,0.003624516,0.00001424331,0.0006718814,0.04558899],"genre_scores_gemma":[0.9307873,0.0001034274,0.06131431,0.004454665,0.0003046311,0.00009926712,0.0001315526,0.00004029132,0.002764584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8936418,"threshold_uncertainty_score":0.9999144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06810447680882105,"score_gpt":0.3225924567579244,"score_spread":0.2544879799491034,"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."}}