{"id":"W2967009974","doi":"10.1109/wowmom.2019.8792989","title":"Autonomic Service Placement in Fog Computing","year":2019,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Microservices; Distributed computing; Cloud computing; Edge computing; Energy consumption; Load balancing (electrical power); Fog computing; Enhanced Data Rates for GSM Evolution; Computer network; Operating system; Telecommunications","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":[0.0006331973,0.0004362375,0.00072077,0.0003411919,0.0008857872,0.0009950125,0.0007657015,0.0006426812,0.001012196],"category_scores_gemma":[0.001519045,0.000302162,0.0004526037,0.0005287439,0.0007005739,0.0008758854,0.0009126546,0.0005291873,0.0001478469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001473648,"about_ca_system_score_gemma":0.001655473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008469331,"about_ca_topic_score_gemma":0.006932474,"domain_scores_codex":[0.9995769,0.0001051393,0.00001323483,0.00007991018,0.0001002897,0.0001245019],"domain_scores_gemma":[0.9996198,0.0001440093,0.00005667928,0.00005067913,0.00007036826,0.00005828261],"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":[0.0000529764,0.00002483927,0.0004235767,0.00002173998,0.00001536398,0.00007002902,0.0000391348,0.960023,0.001706461,0.01884223,0.001003044,0.01777753],"study_design_scores_gemma":[0.00000492846,0.0000159335,0.0001123721,0.000002620148,0.000002707626,0.00001826854,0.00001502612,0.9932138,0.000252788,0.005944209,0.0004143362,0.000003105413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09627485,0.0004697765,0.8939025,0.0003450832,0.0001298731,0.00006990185,0.00004634674,0.0002896072,0.008472067],"genre_scores_gemma":[0.9604463,0.0001878222,0.03803109,0.00007417167,0.00002302076,0.00002959447,0.00002648183,0.00002781347,0.001153618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008469331,"threshold_uncertainty_score":0.0168401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204352353858924,"score_gpt":0.228692741996888,"score_spread":0.2166492184582988,"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."}}