{"id":"W3127219265","doi":"10.1109/jiot.2021.3057594","title":"Resource Management for Secure Computation Offloading in Softwarized Cyber–Physical Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"State Key Laboratory of Integrated Services Networks; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Computer science; Cloud computing; Distributed computing; Edge computing; Markov decision process; Latency (audio); Resource management (computing); Computation offloading; Cyber-physical system; Computer network; Computer security; Markov process","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":[0.0007824205,0.0001419629,0.000308152,0.0002079016,0.00007752283,0.0003852792,0.0006221512,0.00005697992,5.815941e-7],"category_scores_gemma":[0.00004918055,0.0001380001,0.0001650899,0.0002628186,0.00002086548,0.0004592392,0.0002019674,0.0003409252,0.000004618877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001279651,"about_ca_system_score_gemma":0.00004735349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001904763,"about_ca_topic_score_gemma":3.870145e-7,"domain_scores_codex":[0.9984279,0.0001145668,0.0005161609,0.0002767494,0.0003545482,0.0003101226],"domain_scores_gemma":[0.9989946,0.0002282804,0.0003494554,0.0001612964,0.0001884331,0.0000779742],"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":[0.0006184355,0.002144386,0.003110381,0.003057481,0.001712535,0.00303895,0.1565079,0.08513301,0.02955637,0.05422116,0.2351649,0.4257345],"study_design_scores_gemma":[0.001409722,0.000121908,0.0001899352,0.001084417,0.00002329715,0.0004727046,0.0002491856,0.9788958,0.004987445,0.005873708,0.00645242,0.000239394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1700904,0.0001249877,0.8220941,0.0002733043,0.006355388,0.0001243823,1.278254e-7,0.00004398979,0.0008933343],"genre_scores_gemma":[0.9322962,0.000004337958,0.0657201,0.0001829204,0.001267284,0.000005109615,0.00000211247,0.00001743602,0.0005045257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8937628,"threshold_uncertainty_score":0.5627481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611276594776765,"score_gpt":0.2627340109447144,"score_spread":0.2466212449969468,"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."}}