{"id":"W3085175684","doi":"10.1109/jiot.2020.3022699","title":"Design, Resource Management, and Evaluation of Fog Computing Systems: A Survey","year":2020,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université de Montréal","funders":"","keywords":"Cloud computing; Computer science; Provisioning; Emulation; Edge computing; Dimensioning; Distributed computing; Network congestion; Resource management (computing); Computer network; Operating system; Engineering","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":[0.002345954,0.0009858565,0.001151854,0.001437716,0.0005302504,0.002638325,0.001846847,0.001049407,0.0007151619],"category_scores_gemma":[0.003315519,0.0006459166,0.0005646524,0.001858342,0.0005988171,0.002478589,0.000775657,0.0008338451,0.0003550975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001427072,"about_ca_system_score_gemma":0.001754837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002594558,"about_ca_topic_score_gemma":0.0023703,"domain_scores_codex":[0.998238,0.0004378507,0.0001774707,0.0002302963,0.0007836585,0.0001328025],"domain_scores_gemma":[0.9987226,0.0005261512,0.0001051451,0.0001290017,0.0004532429,0.00006387819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002445297,0.0002922345,0.003831017,0.005607995,0.0001714269,0.0001652789,0.000418837,0.07859773,0.01380054,0.03924425,0.007025912,0.8506003],"study_design_scores_gemma":[0.0001283465,0.001354188,0.006521879,0.003794706,0.0003565767,0.001018156,0.0009569249,0.6126254,0.03739949,0.05261283,0.2830018,0.000229829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.04311121,0.3151405,0.5949579,0.002045735,0.0005255542,0.001347773,0.0003038248,0.001225396,0.04134219],"genre_scores_gemma":[0.3670357,0.2706919,0.355292,0.0007606188,0.0004994125,0.0007494953,0.0005372199,0.0003098788,0.004123754],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002638325,"threshold_uncertainty_score":0.01240671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040134029560727,"score_gpt":0.2959355873832765,"score_spread":0.1919221844272038,"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."}}