{"id":"W4399207439","doi":"10.1109/jiot.2024.3397296","title":"Dependence-Aware Multitask Scheduling for Edge Video Analytics With Accuracy Guarantee","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Computer science; Workload; Latency (audio); Scheduling (production processes); Real-time computing; Analytics; Task (project management); Enhanced Data Rates for GSM Evolution; Computation; Heuristic; Distributed computing; Artificial intelligence; Algorithm; Data mining; Mathematical optimization","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":[0.001038355,0.001124248,0.0008889308,0.0007143517,0.0007719425,0.0008508475,0.00178384,0.0004606107,0.001575775],"category_scores_gemma":[0.006485596,0.0003798941,0.0003557525,0.0008178778,0.0004609791,0.001952566,0.001168605,0.0009545644,0.0003391713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009304428,"about_ca_system_score_gemma":0.001739017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004599597,"about_ca_topic_score_gemma":0.005186186,"domain_scores_codex":[0.9988972,0.0001876418,0.00007903749,0.0003067903,0.0003005218,0.0002287865],"domain_scores_gemma":[0.9971638,0.001147503,0.0003372788,0.0005145852,0.0005370613,0.0002998047],"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":[0.001478495,0.0006158177,0.007810005,0.0004719126,0.00008063432,0.0003911968,0.0007190338,0.5232136,0.06063716,0.01083041,0.006717486,0.3870343],"study_design_scores_gemma":[0.0000199459,0.0001159644,0.0008974177,0.000006847812,0.00001317921,0.00006121144,0.00006204477,0.9899346,0.004483598,0.003731754,0.0006620936,0.00001133064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1296976,0.0007928023,0.8652791,0.000250141,0.0000910253,0.000153709,0.000116999,0.001471344,0.002147317],"genre_scores_gemma":[0.9025499,0.0001720004,0.0960742,0.00007545969,0.00005171043,0.00006916223,0.0001346987,0.0001039282,0.0007689295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004599597,"threshold_uncertainty_score":0.009145677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03150853950904424,"score_gpt":0.3120207234182603,"score_spread":0.280512183909216,"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."}}