{"id":"W2954441379","doi":"10.5539/mas.v13n7p38","title":"Hadoop MapReduce Job Scheduling Algorithms Survey and Use Cases","year":2019,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Scheduling (production processes); Job scheduler; Execution time; Algorithm; Distributed computing; Data mining; Data science; Cloud computing; Operating system; Operations management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003644176,0.0007928991,0.0005951112,0.003947493,0.0007980654,0.001976854,0.001880137,0.0008779513,0.0006810945],"category_scores_gemma":[0.008487033,0.0006328153,0.001142363,0.008699484,0.0006619315,0.0017134,0.0007751727,0.0008321767,0.0003485305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101251,"about_ca_system_score_gemma":0.001304769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003722547,"about_ca_topic_score_gemma":0.002877326,"domain_scores_codex":[0.9949566,0.0008493209,0.0006553646,0.0007830917,0.002279239,0.0004764706],"domain_scores_gemma":[0.9942993,0.003438789,0.0003604863,0.0006303238,0.001066053,0.000205039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001240287,0.0009186247,0.06537993,0.006491879,0.0004329864,0.001064151,0.001716566,0.1126085,0.01283143,0.03050641,0.04164108,0.725168],"study_design_scores_gemma":[0.0002652392,0.001349434,0.08137532,0.001943107,0.0005919633,0.007602381,0.003765116,0.3175701,0.07430287,0.04415957,0.4666725,0.0004024911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7208207,0.1034777,0.1153705,0.003679073,0.0004500547,0.0007752637,0.004779438,0.003856917,0.04679023],"genre_scores_gemma":[0.8287093,0.04424743,0.1145301,0.0005012816,0.0003096159,0.0004468339,0.006788338,0.000926366,0.003540791],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003947493,"threshold_uncertainty_score":0.01927245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03312254978786856,"score_gpt":0.2503781954687146,"score_spread":0.2172556456808461,"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."}}