{"id":"W4399308674","doi":"10.23977/acss.2024.080313","title":"Architecture Design and Optimization of Large-scale Data Processing Systems in Cloud Computing Environments","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Distributed computing; Scale (ratio); Architecture; Computer architecture; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001472724,0.000196802,0.0003686315,0.0002468799,0.00008158789,0.0003772713,0.0006153807,0.00006310016,2.162553e-7],"category_scores_gemma":[0.000005617616,0.0001673434,0.0000180923,0.000407769,0.00004888708,0.0001505501,0.0008698505,0.0001694348,5.033243e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002962048,"about_ca_system_score_gemma":0.0000191813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003108046,"about_ca_topic_score_gemma":0.000003103109,"domain_scores_codex":[0.9977991,0.0003076642,0.0005687609,0.0007472883,0.0002763782,0.000300837],"domain_scores_gemma":[0.9990588,0.0002915771,0.0001497988,0.0004303693,0.0000132806,0.00005612227],"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":[0.000003277309,0.00003483335,0.0002686711,0.0006928299,0.000009381808,0.00002536591,0.001548425,0.9150841,0.00001681818,0.0003365177,0.00001731816,0.08196241],"study_design_scores_gemma":[0.000288293,0.00006694306,0.00006966769,0.002030466,0.000005449082,0.00003272091,0.0001325267,0.9953567,0.000005802699,0.00008994074,0.001741844,0.0001796766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01226528,0.05813646,0.9282817,0.00005615125,0.0007426266,0.00042458,0.000003486868,0.00006297584,0.00002669293],"genre_scores_gemma":[0.9119509,0.0002608958,0.0875103,0.00002629962,0.0002079305,0.000007858842,0.000004535174,0.00001504117,0.00001621433],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8996856,"threshold_uncertainty_score":0.6824066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959348985172221,"score_gpt":0.2637116642315553,"score_spread":0.2441181743798331,"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."}}