{"id":"W4205452550","doi":"10.1109/ojcoms.2022.3140272","title":"Optimal Container Migration/Re-Instantiation in Hybrid Computing Environments","year":2022,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Container (type theory); Computer science; Distributed computing; Engineering; Mechanical engineering","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":[0.0007330159,0.0008323764,0.0005800668,0.0003766472,0.0006662548,0.001113298,0.001184096,0.0007159311,0.001049758],"category_scores_gemma":[0.001214479,0.0004062814,0.0005236366,0.0005243737,0.0007544843,0.0008996238,0.0009231468,0.0005695625,0.0001482945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278789,"about_ca_system_score_gemma":0.001213202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008208932,"about_ca_topic_score_gemma":0.008052475,"domain_scores_codex":[0.9994666,0.0001500503,0.0000194012,0.00010767,0.00007003339,0.0001862378],"domain_scores_gemma":[0.9995219,0.0001827428,0.00008570227,0.00007159095,0.00005040801,0.00008773422],"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":[0.00009688329,0.00003162162,0.0004588614,0.00002560047,0.00001187445,0.00006040663,0.00002686465,0.9849182,0.001841028,0.002943191,0.0003976551,0.009187952],"study_design_scores_gemma":[0.000005936247,0.00002781434,0.0001233336,0.000002501866,0.000004515348,0.00001577711,0.00002481595,0.9978452,0.0006051679,0.001084707,0.0002562691,0.000004005916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3099469,0.0007757415,0.6806871,0.0003738291,0.0001033124,0.00014026,0.0001526476,0.001113442,0.006706749],"genre_scores_gemma":[0.9180934,0.0001459595,0.08022535,0.00004944266,0.000008475429,0.00005658928,0.00007260458,0.00007477467,0.001273357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008208932,"threshold_uncertainty_score":0.01632231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03383500931740266,"score_gpt":0.2793933132827611,"score_spread":0.2455583039653584,"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."}}