{"id":"W2885291667","doi":"10.22215/etd/2015-10645","title":"An Energy Aware Green Spine Switch Management System in Spine-Leaf Datacenter Networks","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Server; Energy consumption; Computer science; Workload; Computer network; Virtualization; Efficient energy use; Distributed computing; Cloud computing; Engineering; 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":[0.0002168573,0.0003071721,0.0003546177,0.0002560208,0.0005386324,0.00061798,0.0008863182,0.0002269613,0.001130477],"category_scores_gemma":[0.0003394184,0.0001381006,0.0001751153,0.0002214327,0.0001964361,0.0005341147,0.0005464624,0.0002723397,0.000201128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000657674,"about_ca_system_score_gemma":0.0005912875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002783193,"about_ca_topic_score_gemma":0.003827037,"domain_scores_codex":[0.9998724,0.00001579191,0.000006942256,0.00002997601,0.00003995183,0.00003497292],"domain_scores_gemma":[0.9998341,0.00002770561,0.00002263208,0.00002107858,0.00005580762,0.00003873548],"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":[0.001347683,0.0008485991,0.01203872,0.0002209931,0.0001124553,0.0006356438,0.0006155958,0.3394298,0.2477235,0.009916939,0.01701861,0.3700915],"study_design_scores_gemma":[0.00005224063,0.0001962308,0.002521793,0.00001187236,0.00004075137,0.00008286998,0.00008920886,0.9597772,0.03118887,0.001457707,0.004561374,0.00001995685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6352054,0.0006390844,0.3458621,0.0006022854,0.0001643247,0.000234971,0.0001968177,0.006924849,0.01017015],"genre_scores_gemma":[0.9733464,0.0001165408,0.02468726,0.00008554924,0.00001753788,0.00003898124,0.00008240712,0.00003673284,0.001588615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002783193,"threshold_uncertainty_score":0.005533934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106717359556011,"score_gpt":0.250847674707486,"score_spread":0.2397805011119259,"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."}}