{"id":"W3181230722","doi":"10.1109/iccworkshops50388.2021.9473749","title":"Neural Network Based Regression Model for Virtual Machines Migration Method Selection","year":2021,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cistel Technology (Canada); Concordia University","funders":"","keywords":"Computer science; Live migration; Virtual machine; Downtime; Key (lock); Artificial neural network; Cloud computing; Support vector machine; Workload; Machine learning; Distributed computing; Artificial intelligence; Virtualization; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001471422,0.001353986,0.001342276,0.0009367683,0.0004254916,0.001194166,0.001808143,0.001440366,0.002620401],"category_scores_gemma":[0.00388699,0.0004928067,0.0009906791,0.0008977738,0.0003950937,0.0009920397,0.0005263883,0.001876549,0.0007783578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126731,"about_ca_system_score_gemma":0.001000888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0191123,"about_ca_topic_score_gemma":0.01011378,"domain_scores_codex":[0.9992501,0.0001869626,0.00005510956,0.0002318434,0.0001428162,0.0001330367],"domain_scores_gemma":[0.9984781,0.0007409105,0.0001870007,0.00004380971,0.000509932,0.00004023473],"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":[0.0001118145,0.0001227369,0.002482946,0.00005918423,0.00006220118,0.00006102544,0.00002810375,0.9502729,0.001018686,0.0008568014,0.0009955552,0.04392811],"study_design_scores_gemma":[0.000002331272,0.00001049443,0.0001631309,0.000002750928,0.000005468208,0.000004093363,0.000001916467,0.9995276,0.0001063116,0.0001123537,0.00006130679,0.0000024177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1390752,0.002399838,0.8500052,0.001096625,0.0003819837,0.0002061385,0.0004099596,0.001527661,0.004897306],"genre_scores_gemma":[0.9431781,0.0009083165,0.04704862,0.000229418,0.0001394631,0.0003885475,0.0006004677,0.00006760958,0.007439573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0191123,"threshold_uncertainty_score":0.03800207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248400030077892,"score_gpt":0.285380441547713,"score_spread":0.2628964412469341,"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."}}