{"id":"W7134190160","doi":"10.1109/bigdata66926.2025.11401794","title":"Dynamic Workflow Scheduling in Cloud-Fog Environments Using Enhanced Grey Wolf Optimization With Real-Time Data Integration","year":2025,"lang":"","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brandon University","funders":"","keywords":"Workflow; Data integration; Scheduling (production processes); System integration; Data modeling","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":[0.0007104801,0.0005884068,0.001276525,0.0003776608,0.0005487543,0.001187479,0.001066583,0.0008041369,0.001222402],"category_scores_gemma":[0.0009919788,0.0004049956,0.000666976,0.0007033874,0.0004960059,0.0008687634,0.00090976,0.0007805515,0.0001259774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008881231,"about_ca_system_score_gemma":0.001658564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01247281,"about_ca_topic_score_gemma":0.007280667,"domain_scores_codex":[0.9996982,0.00006960525,0.00001243887,0.00006080789,0.00007128416,0.00008777907],"domain_scores_gemma":[0.9997026,0.0001337588,0.00002954669,0.0000198324,0.00006641092,0.00004776517],"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":[0.00008522368,0.00005064769,0.0002354044,0.00001789156,0.00002677736,0.00005054298,0.00002209707,0.987263,0.001339176,0.002071826,0.000326464,0.008510908],"study_design_scores_gemma":[0.000003621748,0.000006955476,0.00002744139,5.001962e-7,0.000001903212,0.000001887292,0.000002399085,0.999431,0.00008857995,0.0003959858,0.00003857877,0.000001122391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1075007,0.000415187,0.8867174,0.0003023287,0.0001504689,0.00006058465,0.00005236568,0.0003683819,0.004432629],"genre_scores_gemma":[0.9361531,0.0001030407,0.06201984,0.00005412082,0.0000246577,0.00003961154,0.00005253876,0.00005137008,0.001501795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01247281,"threshold_uncertainty_score":0.02480042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529882059771209,"score_gpt":0.2549191764675527,"score_spread":0.2396203558698406,"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."}}