{"id":"W4312918528","doi":"10.1109/jsac.2022.3227088","title":"Joint Communication and Computation Offloading for Ultra-Reliable and Low-Latency With Multi-Tier Computing","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Fonds National de la Recherche Luxembourg; Queen's University Belfast; Royal Academy of Engineering; National Science Foundation","keywords":"Computer science; Computation offloading; Lyapunov optimization; Optimization problem; Distributed computing; Mathematical optimization; Cloud computing; Latency (audio); Edge computing; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008481535,0.001227097,0.001070668,0.0002671945,0.000653968,0.001242853,0.001253031,0.000741902,0.001507182],"category_scores_gemma":[0.001702374,0.0003606363,0.0005039597,0.000820672,0.0007682384,0.001445832,0.001262077,0.0009035789,0.0002064798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008998595,"about_ca_system_score_gemma":0.001336281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004901185,"about_ca_topic_score_gemma":0.006071781,"domain_scores_codex":[0.9991131,0.000242395,0.00003193686,0.0001747651,0.0001851748,0.0002525937],"domain_scores_gemma":[0.9990296,0.0005512538,0.0001121961,0.0001133359,0.0001077408,0.00008579046],"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":[0.0001237326,0.00008410939,0.0008043843,0.000140331,0.00004359723,0.0001926773,0.00006998322,0.9488917,0.004594215,0.014753,0.001203031,0.02909924],"study_design_scores_gemma":[0.000003712834,0.00002286496,0.0001105161,0.000003198036,0.0000065807,0.00002333027,0.00001773633,0.9958473,0.0004832136,0.003198159,0.0002789212,0.000004466828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04499677,0.0009006536,0.9500347,0.0002552523,0.00007994731,0.00007248612,0.00005758361,0.0001885519,0.00341415],"genre_scores_gemma":[0.924405,0.0004436223,0.07307585,0.0001338354,0.00007099693,0.00006683138,0.00005651323,0.000057315,0.001690025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004901185,"threshold_uncertainty_score":0.0097453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04341358534170696,"score_gpt":0.2921812810605529,"score_spread":0.2487676957188459,"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."}}