{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005035815,0.00008721971,0.0001934271,0.000293768,0.0004776319,0.00003710456,0.0002191783,0.00001865972,0.000001685734],"category_scores_gemma":[0.00002029894,0.00008951128,0.0001079321,0.0007177716,0.00002033034,0.00001019429,0.0005364405,0.0001374293,8.250348e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004064452,"about_ca_system_score_gemma":0.00001070856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007893439,"about_ca_topic_score_gemma":0.000008731159,"domain_scores_codex":[0.9990104,0.0000943607,0.0002120046,0.0002932422,0.000219534,0.0001704625],"domain_scores_gemma":[0.9994973,0.00008856876,0.0001469894,0.0001962562,0.00003605549,0.00003484207],"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":[0.00000427617,0.00001341388,0.006204529,0.00001466194,0.0001663134,0.000001238533,0.001780114,0.9885157,0.0001248385,0.0007148715,0.00001248309,0.002447614],"study_design_scores_gemma":[0.0001907589,0.00004988952,0.0006722616,0.000005417685,0.0001641705,0.000004639011,0.0002911031,0.998112,0.00001619801,0.00007643466,0.0003335912,0.00008356185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6644384,0.00004966924,0.3351472,0.0001109152,0.00007127367,0.00007919733,0.000006389831,0.00006692429,0.00003003571],"genre_scores_gemma":[0.975136,8.143629e-7,0.02456973,0.00003572409,0.00003597623,0.00000143002,0.000005002068,0.000007317555,0.0002079345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3106976,"threshold_uncertainty_score":0.3673607,"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."}}