{"id":"W2073582323","doi":"10.1145/1618525.1618538","title":"Towards better performance per watt in virtual environments on asymmetric single-ISA multi-core systems","year":2009,"lang":"en","type":"article","venue":"ACM SIGOPS Operating Systems Review","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Virtualization; Scheduling (production processes); Hypervisor; Distributed computing; Multi-core processor; Virtual machine; Performance metric; Power consumption; Computer multitasking; Embedded system; Operating system; Power (physics); Cloud computing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001869981,0.0004950251,0.0008733379,0.0002921138,0.0002846597,0.0004623987,0.001947334,0.0001250351,0.000004203114],"category_scores_gemma":[0.0003182241,0.0003823485,0.0001513619,0.0008989305,0.00003108146,0.0001299344,0.00056052,0.0004387033,0.0003588954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003453702,"about_ca_system_score_gemma":0.00003364323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009057771,"about_ca_topic_score_gemma":9.630777e-7,"domain_scores_codex":[0.9957836,0.0004677224,0.001194544,0.0009814315,0.000880237,0.0006924571],"domain_scores_gemma":[0.9974689,0.0001613898,0.0003359725,0.001831215,0.00004919158,0.0001533324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006242756,0.001105305,0.003788561,0.004366674,0.0001108567,0.0001654526,0.001428183,0.1308427,0.0008498158,0.002727847,0.003617263,0.8509911],"study_design_scores_gemma":[0.002092968,0.002044549,0.01199363,0.0400921,0.00007718184,0.0002139599,0.0002137697,0.8525432,0.0001787783,0.000005644912,0.088571,0.001973158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7632894,0.1608729,0.04920522,0.00570931,0.005114609,0.007611575,0.000008774995,0.0008851006,0.007303158],"genre_scores_gemma":[0.99112,0.001255648,0.002702123,0.002641188,0.0003025001,0.0001083285,0.000006469942,0.00003277171,0.00183092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.849018,"threshold_uncertainty_score":0.9998628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04105077542162851,"score_gpt":0.2666842614016169,"score_spread":0.2256334859799884,"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."}}