{"id":"W2576330472","doi":"10.5555/3375069.3375132","title":"Monitoring and Measurement System for Green Operation of Geographically Distributed ICT Services","year":2016,"lang":"en","type":"article","venue":"Conference on Network and Service Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université de Montréal; École de Technologie Supérieure","funders":"","keywords":"Testbed; Green computing; Computer science; Information and Communications Technology; Energy consumption; Reliability (semiconductor); Variety (cybernetics); Efficient energy use; Work (physics); Cloud computing; Environmental economics; Computer security; Computer network; Engineering; Power (physics)","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":[0.002482907,0.0005770876,0.0008421924,0.002244273,0.0008438082,0.00164748,0.001641759,0.0008768539,0.001810701],"category_scores_gemma":[0.002335935,0.0002379604,0.0003608681,0.0009756525,0.0003680286,0.001756118,0.001577653,0.0007420622,0.0008757806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001294377,"about_ca_system_score_gemma":0.001745025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006161407,"about_ca_topic_score_gemma":0.004567859,"domain_scores_codex":[0.9979929,0.0005101124,0.0001841793,0.0004350531,0.0006908613,0.0001869451],"domain_scores_gemma":[0.9982288,0.0002747102,0.0002535786,0.0004144928,0.0006031157,0.0002253517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009568858,0.001284811,0.03264324,0.0005117334,0.0002811461,0.001032299,0.002186959,0.08361728,0.1445515,0.04905238,0.0301978,0.653684],"study_design_scores_gemma":[0.0001228258,0.0004435995,0.01362107,0.0001455602,0.0001459844,0.0004869802,0.0004639849,0.8566938,0.05689806,0.01007821,0.06072509,0.000174833],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0416664,0.0002630685,0.9231697,0.0004034789,0.0000817493,0.0005893453,0.0005441456,0.02754116,0.00574084],"genre_scores_gemma":[0.6859223,0.0001916353,0.3075308,0.0002819198,0.00008315679,0.0005649061,0.001382956,0.0003622405,0.003680071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006161407,"threshold_uncertainty_score":0.01313102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280942851927396,"score_gpt":0.2207291773018683,"score_spread":0.1926348921091287,"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."}}