{"id":"W2093039239","doi":"10.1109/infcom.2013.6566728","title":"Profit-maximizing virtual machine trading in a federation of selfish clouds","year":2013,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Cloud computing; Computer science; Provisioning; Profit (economics); Virtual machine; Server; Distributed computing; Interoperability; Scheduling (production processes); Exploit; Operations research; Computer network; Microeconomics; Mathematical optimization; Computer security; Economics; Operating system","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":[0.003426035,0.0003887832,0.00113327,0.0003942216,0.0009719349,0.001922734,0.001274215,0.0007995577,0.0007134237],"category_scores_gemma":[0.004592019,0.0005107331,0.000586561,0.0005335542,0.001405187,0.001812602,0.001398333,0.0006568569,0.0001219093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375547,"about_ca_system_score_gemma":0.001678636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002393495,"about_ca_topic_score_gemma":0.001775848,"domain_scores_codex":[0.9986116,0.0006017333,0.00006309237,0.0002168245,0.0002106347,0.0002961472],"domain_scores_gemma":[0.9976981,0.001001757,0.0003767597,0.0004042395,0.0002069683,0.0003120916],"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":[0.0002512576,0.00008994306,0.001297344,0.00002993321,0.00005388476,0.0001992509,0.000101084,0.9244592,0.002245632,0.05911205,0.0005143059,0.01164621],"study_design_scores_gemma":[0.00001288276,0.00001938861,0.0001108922,0.000001904677,0.000004717435,0.00002083193,0.00001735907,0.9828808,0.0002951322,0.01646074,0.0001710102,0.000004326415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2975138,0.0002045754,0.6961603,0.0004566769,0.00005258371,0.0000634271,0.00004407605,0.0003114494,0.005193136],"genre_scores_gemma":[0.9671363,0.00003871454,0.03205245,0.0000287087,0.000008369812,0.00002718547,0.00001181714,0.00001480557,0.0006816171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003426035,"threshold_uncertainty_score":0.0181188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133376823859405,"score_gpt":0.2139595626178221,"score_spread":0.202625794379228,"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."}}