{"id":"W4220932531","doi":"10.3390/s22052035","title":"Analysis of Job Failure and Prediction Model for Cloud Computing Using Machine Learning","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Umm Al-Qura University","keywords":"Cloud computing; Computer science; Dependability; Job scheduler; Distributed computing; Scheduling (production processes); Machine learning; Software; Automation; Artificial intelligence; Software engineering; Operating system; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002322275,0.001092187,0.000895987,0.001901905,0.0005171531,0.0007770023,0.001092888,0.0006861211,0.0006612769],"category_scores_gemma":[0.005924138,0.000263017,0.0007051004,0.001054396,0.0003521557,0.0006850616,0.0003882517,0.0008444436,0.0002711554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383449,"about_ca_system_score_gemma":0.00129522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03711835,"about_ca_topic_score_gemma":0.01677982,"domain_scores_codex":[0.9992771,0.0001586616,0.00006647718,0.0001793895,0.000166673,0.0001518238],"domain_scores_gemma":[0.9955747,0.002806919,0.0005539017,0.0002823323,0.0006109743,0.0001711581],"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":[0.0001830043,0.0001774461,0.03031087,0.00006333531,0.00005030382,0.0001260542,0.00006293312,0.9468344,0.000779432,0.0005714401,0.0007270785,0.02011365],"study_design_scores_gemma":[0.000001038964,0.000008864326,0.001421977,0.000001796588,0.000002505499,0.000007069906,0.00000509962,0.998237,0.0001263367,0.0001639099,0.00002231867,0.000002128463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8714874,0.0006905106,0.1236253,0.0004859169,0.00006798525,0.0001277342,0.001113711,0.001223183,0.001178364],"genre_scores_gemma":[0.990518,0.0001174428,0.008136996,0.0000236321,0.00001766665,0.00005129044,0.0006716995,0.00001761057,0.0004456553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03711835,"threshold_uncertainty_score":0.07380456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814131535268656,"score_gpt":0.2388847449092445,"score_spread":0.2207434295565579,"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."}}