{"id":"W2925269827","doi":"10.1155/2019/4390917","title":"A Stochastic Approach to Energy Cost Minimization in Smart-Grid-Enabled Data Center Network","year":2019,"lang":"en","type":"article","venue":"Journal of Computer Networks and Communications","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Iran Telecommunication Research Center","keywords":"Computer science; Lyapunov optimization; Smart grid; Data center; Quality of service; Mathematical optimization; Constraint (computer-aided design); Grid; Minification; Electricity; Real-time computing; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007481739,0.0001478903,0.0003058892,0.0001896813,0.000146251,0.0002727279,0.003487604,0.00005652582,0.000001349283],"category_scores_gemma":[0.000008178111,0.0001292648,0.00005202101,0.0006559866,0.0000312005,0.0001194485,0.003822894,0.0002934041,0.00000235415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003999711,"about_ca_system_score_gemma":0.00003938012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002197452,"about_ca_topic_score_gemma":0.00001932549,"domain_scores_codex":[0.9983899,0.0002577211,0.0005685122,0.0002784863,0.0002149026,0.0002904994],"domain_scores_gemma":[0.9970742,0.0002665483,0.0003122486,0.00208952,0.0001182612,0.0001392071],"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":[0.0000104941,0.0001946739,0.0007590188,0.000005436279,0.00003935062,0.000001458195,0.0002578842,0.9437513,2.292678e-7,0.006610106,0.007514878,0.04085521],"study_design_scores_gemma":[0.000593185,0.00008022922,0.004435322,0.0001602674,0.00001092182,0.00004932854,0.00001941791,0.9570087,3.149282e-8,0.000220856,0.03728692,0.000134865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002774796,0.0009170502,0.992891,0.001714874,0.0005957925,0.0002201384,0.000001068486,0.00002456552,0.0008607368],"genre_scores_gemma":[0.8395895,0.0001704429,0.158028,0.001525658,0.0005509037,0.000007525172,0.00002042451,0.00001457035,0.00009295094],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8368147,"threshold_uncertainty_score":0.6480893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02603650759535227,"score_gpt":0.2440120507151732,"score_spread":0.2179755431198209,"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."}}