{"id":"W1933219619","doi":"10.1002/nem.1838","title":"Design of energy‐efficient cloud systems via network and resource virtualization","year":2013,"lang":"en","type":"article","venue":"International Journal of Network Management","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Cloud computing; Data center; Provisioning; Distributed computing; Integer programming; Virtualization; Network topology; Computer network; Network virtualization; Control reconfiguration; Operating system; Embedded system; Algorithm","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":[0.0004499395,0.0004053892,0.0004075133,0.0002340579,0.00049658,0.00103017,0.0008038392,0.0004068554,0.001523002],"category_scores_gemma":[0.0006918015,0.0002814461,0.0003654936,0.0002620369,0.0004972822,0.0007027482,0.0008933703,0.0005086123,0.0002118264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008095996,"about_ca_system_score_gemma":0.001232444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002028715,"about_ca_topic_score_gemma":0.002270123,"domain_scores_codex":[0.9996767,0.0001069517,0.00001232607,0.0000457838,0.00009029267,0.000067965],"domain_scores_gemma":[0.99984,0.00004747801,0.00003183142,0.00001558264,0.00004415269,0.00002100496],"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":[0.00003128739,0.00002508901,0.0002843336,0.0000751617,0.00002100239,0.00007768164,0.0000277331,0.9494664,0.006445201,0.025159,0.0008754015,0.01751166],"study_design_scores_gemma":[0.000006502624,0.00002130618,0.00008086093,0.000006548339,0.000005586197,0.00001330945,0.0000135568,0.9921038,0.0007256797,0.005369826,0.0016492,0.000003684467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04466793,0.0009370701,0.9406989,0.0005631938,0.00009219849,0.0001619242,0.00006261851,0.0002608103,0.01255547],"genre_scores_gemma":[0.8758818,0.0006830998,0.1204236,0.0001011267,0.0000346107,0.0002145086,0.00005647329,0.00004295479,0.002561905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002028715,"threshold_uncertainty_score":0.005874038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00952007004626954,"score_gpt":0.2089747627077931,"score_spread":0.1994546926615235,"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."}}