{"id":"W4317793548","doi":"10.1109/honet56683.2022.10019191","title":"Sustainable and Secure Optimization of Load Distribution in Edge Computing","year":2022,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Council of Independent Colleges","keywords":"Server; Computer science; Load balancing (electrical power); Cloud computing; Edge computing; Enhanced Data Rates for GSM Evolution; Distributed computing; Edge device; Computer network; Telecommunications; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000525819,0.00005884138,0.00009525095,0.00006000591,0.0001964441,0.00004553138,0.000222538,0.00001804987,0.000004443236],"category_scores_gemma":[0.00003139383,0.0000627544,0.00001598635,0.0005624754,0.00001517789,0.0001907304,0.0007726476,0.0001028257,3.42847e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001448922,"about_ca_system_score_gemma":0.00008218513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001622109,"about_ca_topic_score_gemma":0.000001123903,"domain_scores_codex":[0.999213,0.00006041659,0.0001710248,0.0001847843,0.0001644958,0.0002063183],"domain_scores_gemma":[0.9996554,0.00004831414,0.00006622989,0.000127563,0.00007763536,0.00002489694],"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":[0.00002241071,0.0002576946,0.01751995,0.0001900993,0.00001349913,0.00006104595,0.0101728,0.7885777,0.0001178162,0.1393898,0.01217072,0.03150649],"study_design_scores_gemma":[0.0002571035,0.00004821852,0.001638616,0.000005986255,0.000001064972,0.000009763696,0.000370353,0.9946607,0.0001247029,0.0006777559,0.002124043,0.00008166807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1102446,0.0001061131,0.8871282,0.000254846,0.0006122591,0.0001088396,2.395237e-7,0.0000565418,0.001488394],"genre_scores_gemma":[0.9876084,0.000001787486,0.01202954,0.00004695206,0.00007778195,0.000001942622,0.000009951255,0.000003106144,0.0002205531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8773639,"threshold_uncertainty_score":0.255905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00622050254617157,"score_gpt":0.212171828035973,"score_spread":0.2059513254898015,"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."}}