{"id":"W1975480691","doi":"10.1145/1774088.1774170","title":"A business driven cloud optimization architecture","year":2010,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); University of Waterloo; Carleton University; York University","funders":"","keywords":"Cloud computing; Computer science; Architecture; Service-oriented modeling; Cloud service provider; Distributed computing; Reference architecture; Cloud computing security; Software engineering; Software architecture; Operating system; Software","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":[0.0001057524,0.00008344516,0.00006954428,0.00007336595,0.0001071561,0.0001422112,0.0006528039,0.00004006908,0.00003792301],"category_scores_gemma":[0.00002390438,0.0000635196,0.0000301197,0.0004181274,0.00002295749,0.00001415499,0.0003635394,0.0001476582,0.00003413074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005366239,"about_ca_system_score_gemma":0.00001600924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002201765,"about_ca_topic_score_gemma":0.00001335096,"domain_scores_codex":[0.9993225,0.00001762291,0.00009755643,0.0002437108,0.0001549573,0.0001635978],"domain_scores_gemma":[0.9993638,0.00002726913,0.00003539563,0.0004601948,0.00006019536,0.00005308931],"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":[9.392509e-7,0.00003436488,0.0001055209,0.000006062165,0.00000667834,0.000005733519,0.0002324682,0.9275578,0.0002233347,0.02875124,0.001343137,0.04173278],"study_design_scores_gemma":[0.0001439133,0.00001096876,0.0009721077,0.000005351106,0.000002289197,0.00001469009,0.000006067369,0.9797879,0.00008433186,0.0006854546,0.01816672,0.0001202294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04776011,0.000003549238,0.9310356,0.003862585,0.0008760945,0.00007919384,9.537393e-8,0.0003684658,0.0160143],"genre_scores_gemma":[0.5756224,5.444759e-7,0.4213188,0.0005794558,0.0003636401,0.000003842874,0.000001054097,0.000007508786,0.002102758],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5278623,"threshold_uncertainty_score":0.2590255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005263892925847247,"score_gpt":0.1992270159316574,"score_spread":0.1939631230058102,"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."}}