{"id":"W3205380204","doi":"10.1109/jiot.2021.3119181","title":"An Adaptive Mechanism for Dynamically Collaborative Computing Power and Task Scheduling in Edge Environment","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Distributed computing; Scheduling (production processes); Edge computing; Processor scheduling; Mechanism (biology); Enhanced Data Rates for GSM Evolution; Computer network; Artificial intelligence; 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":[0.001120455,0.0007486395,0.0006586401,0.0008330553,0.0009042603,0.0009701553,0.002216388,0.0006669372,0.001253318],"category_scores_gemma":[0.002109405,0.0003247416,0.0004772719,0.0007336491,0.0005082563,0.001536977,0.001376002,0.0007911322,0.0002613851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000579586,"about_ca_system_score_gemma":0.001291352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002376857,"about_ca_topic_score_gemma":0.002072031,"domain_scores_codex":[0.9989491,0.0001735015,0.00008437945,0.00033741,0.0002839373,0.0001716803],"domain_scores_gemma":[0.9990876,0.0002055766,0.000136135,0.0001612663,0.0002659732,0.0001435405],"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":[0.0008213773,0.0005758167,0.00538529,0.000291519,0.0001729941,0.0006050204,0.0006891394,0.472442,0.08154543,0.03432953,0.008056249,0.3950855],"study_design_scores_gemma":[0.00005488867,0.0001517962,0.0007160146,0.000007676063,0.00003529511,0.0001449803,0.00007492389,0.9831717,0.006763563,0.005378024,0.003462916,0.00003821486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06018924,0.0003570014,0.9344171,0.0002271813,0.0001259243,0.0001543964,0.00004556096,0.001235512,0.003248063],"genre_scores_gemma":[0.8831422,0.0001876025,0.1141338,0.0001411877,0.00008111776,0.000173287,0.00006757666,0.00007255098,0.002000612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002376857,"threshold_uncertainty_score":0.005925596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00905025189918069,"score_gpt":0.2350493727266197,"score_spread":0.225999120827439,"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."}}