{"id":"W4280565652","doi":"10.1109/wcnc51071.2022.9771792","title":"Joint Wireless and Service Allocation for Mobile Computation Offloading with Job Completion Time and Cost Constraints","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Wireless Communications and Networking Conference (WCNC)","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Mobile edge computing; Wireless network; Computer network; Wireless; Computation offloading; Base station; Distributed computing; Enhanced Data Rates for GSM Evolution; Task (project management); Server; Edge computing; 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":[0.0008065496,0.001285746,0.001211226,0.0004822258,0.000573493,0.001015145,0.001193747,0.0006635686,0.002357067],"category_scores_gemma":[0.001782461,0.0004338699,0.0005232602,0.0009448233,0.0006308528,0.001113442,0.001095573,0.0008615994,0.0004500633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007538447,"about_ca_system_score_gemma":0.001343958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002785507,"about_ca_topic_score_gemma":0.003854014,"domain_scores_codex":[0.9990953,0.0002583261,0.00003457884,0.000137975,0.0002703535,0.0002035104],"domain_scores_gemma":[0.9994753,0.0002609121,0.00007110933,0.00005793147,0.00008548368,0.00004934905],"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":[0.0001572275,0.0001181068,0.0002875976,0.0001033471,0.00002888437,0.0001041679,0.00005783757,0.9099302,0.007000149,0.01666136,0.001517058,0.06403407],"study_design_scores_gemma":[0.000009252696,0.00004195419,0.00009892922,0.000003870034,0.00000492681,0.00002665733,0.00001342759,0.9940389,0.001118223,0.003568404,0.001069142,0.000006271079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01310114,0.0001865658,0.9830157,0.0001014757,0.00003793529,0.00005838343,0.00002872296,0.0001199263,0.003350049],"genre_scores_gemma":[0.7723354,0.000331253,0.2200197,0.0001153981,0.000104465,0.0002994012,0.0000957908,0.0001404332,0.006558132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002785507,"threshold_uncertainty_score":0.007885158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05189093733583509,"score_gpt":0.2653050745292175,"score_spread":0.2134141371933824,"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."}}