{"id":"W1972266874","doi":"10.4018/jitwe.2007010101","title":"Hierarchical Scheduling in Heterogeneous Grid Systems","year":2007,"lang":"en","type":"article","venue":"International Journal of Information Technology and Web Engineering","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Distributed computing; Grid; Scheduling (production processes); Grid system; Grid computing; Load balancing (electrical power); Scheme (mathematics); Dynamic priority scheduling; Mathematical optimization; Schedule; Operating system","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":[0.001489315,0.0003517213,0.0005115707,0.0006702473,0.001141915,0.001175835,0.0009191512,0.0004713085,0.001404509],"category_scores_gemma":[0.002868359,0.0003274731,0.0003570263,0.001033662,0.0007701827,0.001369983,0.001279865,0.0005420659,0.000362643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588177,"about_ca_system_score_gemma":0.001284989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008683404,"about_ca_topic_score_gemma":0.007422781,"domain_scores_codex":[0.9990409,0.0003619523,0.00005694132,0.0001283759,0.000272815,0.0001390104],"domain_scores_gemma":[0.9987116,0.0004629534,0.0001448498,0.0003452249,0.0001875771,0.0001477077],"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":[0.0001613141,0.00006896126,0.002439345,0.0001108583,0.00006213694,0.0003136211,0.000293752,0.8371582,0.005795938,0.08214065,0.004024497,0.06743068],"study_design_scores_gemma":[0.00004635632,0.00003726651,0.0006746698,0.0000103188,0.00001766704,0.00006499945,0.00009404928,0.95752,0.001361488,0.034176,0.005978396,0.00001880376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1315838,0.001368235,0.8510748,0.0007033953,0.0001534615,0.0001948742,0.0001474498,0.001874124,0.01289988],"genre_scores_gemma":[0.8588822,0.0005405947,0.137114,0.00009976812,0.00007573985,0.0001223827,0.0001775432,0.00009734599,0.002890357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008683404,"threshold_uncertainty_score":0.01726574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004119998206207451,"score_gpt":0.2143050016473376,"score_spread":0.2101850034411301,"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."}}