{"id":"W2476849799","doi":"10.1002/spe.2426","title":"Resource requests prediction in the cloud computing environment with a deep belief network","year":2016,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Cloud computing; Computer science; Deep belief network; Variance (accounting); Artificial intelligence; Set (abstract data type); Data mining; Resource (disambiguation); Machine learning; Scheduling (production processes); Deep learning; Mean squared error; Mathematical optimization; Statistics; Mathematics","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":[0.0009494853,0.0004532034,0.0004420261,0.0003938867,0.0003105249,0.0006222803,0.0006224586,0.0005095184,0.0004808671],"category_scores_gemma":[0.002723141,0.0003264725,0.000281587,0.0003960559,0.000392159,0.0009176513,0.0005579753,0.0009399098,0.00009646747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291651,"about_ca_system_score_gemma":0.00104951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03631752,"about_ca_topic_score_gemma":0.01999887,"domain_scores_codex":[0.9996603,0.00009999308,0.00001408629,0.0000698689,0.00007828006,0.00007749219],"domain_scores_gemma":[0.9986988,0.0007645795,0.0001236507,0.00007536761,0.0002564969,0.00008106905],"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":[0.00009033541,0.0000446893,0.002710641,0.000007892035,0.00001148618,0.000017571,0.00001340819,0.9860988,0.000632803,0.0004032153,0.0001909942,0.009778203],"study_design_scores_gemma":[4.963424e-7,0.000002553194,0.0000898772,2.566654e-7,4.184711e-7,3.98779e-7,9.051303e-7,0.9997531,0.00006574848,0.00008119358,0.000004648207,5.085132e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7894524,0.0002365911,0.2067097,0.0007774761,0.00003856414,0.00003375852,0.0001325193,0.0004409178,0.002177999],"genre_scores_gemma":[0.9904664,0.00003223168,0.009131035,0.00002844453,0.000005817707,0.000007737714,0.00004886419,0.000005762263,0.000273811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03631752,"threshold_uncertainty_score":0.07221228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008643884133305817,"score_gpt":0.2254653383812464,"score_spread":0.2168214542479405,"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."}}