{"id":"W2124963041","doi":"10.1109/hpcs.2005.14","title":"An Adaptive Generalized Scheduler for Grid Applications","year":2005,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Distributed computing; Grid; Scheduling (production processes); Workload; Overhead (engineering); Grid computing; Resource management (computing); Computer network; Mathematical optimization; 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":[0.0005846307,0.0003949653,0.0005141828,0.0002881805,0.0004418298,0.0006154962,0.001147673,0.000381136,0.001363734],"category_scores_gemma":[0.001580538,0.0001940525,0.0002801274,0.0004498087,0.0004648128,0.0005172321,0.0006098377,0.0008710021,0.0004064276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007644512,"about_ca_system_score_gemma":0.001517269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004550596,"about_ca_topic_score_gemma":0.005288177,"domain_scores_codex":[0.9996454,0.0001018779,0.00002151185,0.00005527181,0.0001276748,0.00004827361],"domain_scores_gemma":[0.9996183,0.00008857806,0.00002654411,0.0001115152,0.0001038694,0.00005115434],"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":[0.0009339105,0.0001576791,0.002688607,0.0002386364,0.00007950513,0.0005064942,0.0003007025,0.4384711,0.05835818,0.05757559,0.01612047,0.4245691],"study_design_scores_gemma":[0.00007405803,0.00008279864,0.0004874796,0.000006924531,0.00001829369,0.00007509132,0.00001951373,0.9716808,0.004495845,0.01002539,0.01301211,0.0000216841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04576484,0.0006595519,0.9405884,0.0002671024,0.000268734,0.0003304032,0.00009100822,0.008487706,0.003542266],"genre_scores_gemma":[0.4261742,0.0004297772,0.5668364,0.0002287112,0.0001719141,0.0003203104,0.0002698627,0.0003061375,0.005262684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004550596,"threshold_uncertainty_score":0.009048223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555682910698466,"score_gpt":0.2871465200802009,"score_spread":0.2615896909732162,"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."}}