{"id":"W2948769222","doi":"10.1109/cybermatics_2018.2018.00055","title":"Design and Performance Evaluation of Containerized Microservices on Edge Gateway in Mobile IoT","year":2018,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Microservices; Virtualization; Edge computing; Computer network; Default gateway; Testbed; Mobile edge computing; Cloud computing; Server; 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":[],"consensus_categories":[],"category_scores_codex":[0.001291842,0.00007522244,0.0001115936,0.00009084844,0.00005859104,0.00003993339,0.0002380181,0.00003246389,0.000006481391],"category_scores_gemma":[0.00001231767,0.00006172658,0.00001085239,0.0002153554,0.00003749836,0.0001377981,0.00009659602,0.00004244555,0.00001786166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000260446,"about_ca_system_score_gemma":0.00005517318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002693701,"about_ca_topic_score_gemma":0.000004444492,"domain_scores_codex":[0.9991906,0.0001043396,0.0001699254,0.0001983278,0.0001854453,0.0001513617],"domain_scores_gemma":[0.9994707,0.0000837141,0.00006208981,0.0001920721,0.0001664274,0.00002497819],"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":[0.0002014261,0.0002368571,0.009831209,0.00008789091,0.00002060391,0.000001699948,0.01184048,0.001921274,0.1073061,0.0005622354,0.001132581,0.8668576],"study_design_scores_gemma":[0.0007943505,0.0004816265,0.01370952,0.00004627775,0.000002826947,0.000001750832,0.00001909898,0.8861692,0.09828888,0.0001701931,0.000225808,0.00009048319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672783,0.00008259466,0.03000358,0.00003825356,0.0007789441,0.0002678311,1.769239e-8,0.00002985468,0.001520598],"genre_scores_gemma":[0.9818632,0.000004789281,0.01779884,0.0001128993,0.0001628656,0.000011574,3.272714e-7,0.000003264389,0.00004223223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8842479,"threshold_uncertainty_score":0.2517137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0395100511461781,"score_gpt":0.2854649170404488,"score_spread":0.2459548658942707,"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."}}