{"id":"W3192446697","doi":"10.1109/icc42927.2021.9500595","title":"HTR: A Joint Approach for Task Offloading and Resource Allocation in Mobile Edge Computing","year":2021,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Mobile edge computing; Computer science; Resource allocation; Server; Computation offloading; Distributed computing; Task (project management); Enhanced Data Rates for GSM Evolution; Base station; Resource management (computing); Edge computing; Resource (disambiguation); Computer network; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000628686,0.0001161165,0.0001828222,0.000105169,0.0001663954,0.000212529,0.000227461,0.00005656974,5.762154e-7],"category_scores_gemma":[0.00006149182,0.0001165626,0.0000447542,0.000397149,0.00001980775,0.000183852,0.000410924,0.0001155631,0.00000247792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000489461,"about_ca_system_score_gemma":0.00006059771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001489046,"about_ca_topic_score_gemma":0.000001900301,"domain_scores_codex":[0.9987444,0.00006047319,0.0002754754,0.00048041,0.0001185834,0.0003206193],"domain_scores_gemma":[0.9993852,0.0001415354,0.00006309773,0.0002731193,0.00007316889,0.00006387699],"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":[0.00001673458,0.0005030951,0.004137603,0.000558558,0.00005550914,0.00003476783,0.02196761,0.01210405,0.02564167,0.02502855,0.02078312,0.8891687],"study_design_scores_gemma":[0.0004200535,0.00003583187,0.0008434971,0.00004312355,0.000002901306,0.00003291519,0.0002653789,0.9835137,0.003940975,0.0003828236,0.01033553,0.0001832658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06788158,0.0003807082,0.9256837,0.0002295806,0.0005661913,0.0002526335,8.247377e-8,0.0001184312,0.004887035],"genre_scores_gemma":[0.6670682,0.000004425314,0.3315173,0.0003956761,0.0006262604,0.00002141264,0.00001163304,0.0000126021,0.0003424923],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9714097,"threshold_uncertainty_score":0.4753284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02665538330640416,"score_gpt":0.2443927591988765,"score_spread":0.2177373758924723,"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."}}