{"id":"W4405935633","doi":"10.1109/cloudnet62863.2024.10815869","title":"Microservices Upgrade in Clouds: Dynamic Management of Version Dependencies and User Load","year":2024,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"","keywords":"Microservices; Computer science; Upgrade; Configuration Management (ITSM); Database; Operating system; Cloud computing; Distributed computing; Computer network","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":[0.001278666,0.0006534586,0.0006634403,0.0005764689,0.001441377,0.001314693,0.001666559,0.0007067053,0.0006569636],"category_scores_gemma":[0.00349716,0.0003752337,0.0003222795,0.0008432199,0.0005526762,0.001860595,0.001132475,0.0008167847,0.0001488056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164397,"about_ca_system_score_gemma":0.002213002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009344923,"about_ca_topic_score_gemma":0.01077234,"domain_scores_codex":[0.9991305,0.0001829839,0.00004627064,0.0002004354,0.0001997719,0.0002400607],"domain_scores_gemma":[0.9982424,0.000473452,0.0003135059,0.0004024927,0.0002360703,0.0003320117],"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":[0.0003639586,0.0002943949,0.01283441,0.0001251128,0.00006631151,0.0003000241,0.0004172169,0.7031485,0.01406124,0.01432874,0.005206044,0.248854],"study_design_scores_gemma":[0.00001435847,0.00003961999,0.001276047,0.000006516892,0.00001159196,0.00008771197,0.00009160142,0.9923954,0.002638474,0.002302489,0.001125162,0.00001100202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5939072,0.0008172881,0.395081,0.0009646147,0.0001570753,0.0002378394,0.0001426633,0.002573089,0.006119145],"genre_scores_gemma":[0.9389521,0.0001115571,0.05993757,0.00005436486,0.00001959111,0.0000376693,0.00009189751,0.00006272581,0.0007324612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009344923,"threshold_uncertainty_score":0.01858109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004785670184448382,"score_gpt":0.2347374410274022,"score_spread":0.2299517708429538,"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."}}