{"id":"W2098271807","doi":"10.1109/hpcs.2007.6","title":"An Adaptive Double-layer Workflow Scheduling Approach for Grid Computing","year":2007,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Distributed computing; Grid; Grid computing; Granularity; Scheduling (production processes); Workflow; Workflow management system; Database; 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":[0.0007331696,0.0005553354,0.0006623827,0.00071054,0.0006023449,0.0007615156,0.001346625,0.0003565956,0.001109962],"category_scores_gemma":[0.0008438593,0.0003019771,0.0006556079,0.000738488,0.0004302309,0.001198689,0.001353534,0.000754392,0.0003060178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006949735,"about_ca_system_score_gemma":0.001390451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003177903,"about_ca_topic_score_gemma":0.003224429,"domain_scores_codex":[0.9994357,0.0001197067,0.0000550796,0.0001362366,0.0001802831,0.00007300181],"domain_scores_gemma":[0.9995937,0.00007529549,0.00003976889,0.0001149593,0.0001019089,0.00007439642],"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":[0.0004470939,0.0001964881,0.002188197,0.0002685439,0.0001705769,0.0002810421,0.0003712072,0.4866349,0.05924274,0.03791228,0.004468536,0.4078184],"study_design_scores_gemma":[0.00002699473,0.0000327919,0.0001874868,0.000004313377,0.00001664112,0.00004656738,0.00002488254,0.9850205,0.004730157,0.006551442,0.003341992,0.00001622583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009498738,0.00007150073,0.9889685,0.00006242438,0.00004346278,0.00005511828,0.00002322742,0.0007203222,0.0005567543],"genre_scores_gemma":[0.2151468,0.0001246728,0.7826389,0.00006620035,0.00003345882,0.0001037457,0.0001566536,0.0001359561,0.001593557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003177903,"threshold_uncertainty_score":0.006318808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05560480459334161,"score_gpt":0.3015066614690031,"score_spread":0.2459018568756615,"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."}}