{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002764132,0.00007011984,0.0000931713,0.00006699442,0.00002308132,0.00006187219,0.000271791,0.00003782605,0.00001055294],"category_scores_gemma":[0.000001611579,0.00005085835,0.00002589771,0.000293025,0.00002490393,0.000337451,0.0002537965,0.00005136595,0.00003400382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005725299,"about_ca_system_score_gemma":0.00002411784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001335021,"about_ca_topic_score_gemma":0.00009691017,"domain_scores_codex":[0.9992877,0.00001604981,0.0001607901,0.0002422701,0.0001753306,0.0001179159],"domain_scores_gemma":[0.9996601,0.00004144588,0.00001742256,0.0002392537,0.00002017526,0.00002162692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001163576,0.0006532252,0.5559309,0.03253515,0.0004756288,0.0005577726,0.02357217,0.0008568703,0.01052215,0.1013838,0.006618217,0.2667777],"study_design_scores_gemma":[0.001353983,0.0002446524,0.7167139,0.002543848,0.00004031693,0.00006439994,0.003059534,0.2416773,0.007097447,0.005719631,0.02076056,0.0007243989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98852,0.001969972,0.007694725,0.0002685487,0.0003081927,0.000131654,0.000001265702,0.0001093172,0.0009962955],"genre_scores_gemma":[0.9927067,0.0002798978,0.006483419,0.00003079187,0.000004088111,0.000004379362,5.699375e-7,0.000002673977,0.000487486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2660533,"threshold_uncertainty_score":0.2073943,"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."}}