{"id":"W2126331019","doi":"10.1109/pccc.2011.6108085","title":"Can P2P help the cloud go green?","year":2011,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Cloud computing; Computer science; Server; Energy consumption; Data center; Efficient energy use; Computer network; Rendering (computer graphics); Service provider; Proxy (statistics); Peer-to-peer; Database; Service (business); Distributed computing; Operating system; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.000288009,0.0001170365,0.00009953,0.00006236216,0.0001350048,0.00006654127,0.002968868,0.00006079875,0.00004606427],"category_scores_gemma":[0.00004209043,0.0000714172,0.00004046947,0.0005495463,0.00007733112,0.0001190767,0.001107959,0.0001821583,0.0004873437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002668948,"about_ca_system_score_gemma":0.00003048317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009755018,"about_ca_topic_score_gemma":0.001237292,"domain_scores_codex":[0.9989676,0.00003729344,0.000128679,0.0003022714,0.000210164,0.0003539569],"domain_scores_gemma":[0.9985393,0.00005651473,0.00003352147,0.001256963,0.00004757193,0.00006615138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003595211,0.00004493924,0.002446334,0.000002937047,0.00002488701,0.00003487803,0.00279107,0.00001097472,0.0001407937,0.5991185,0.1405956,0.2547854],"study_design_scores_gemma":[0.0005820782,0.0007455348,0.05047008,0.00004154736,0.00002415807,0.000156034,0.001020572,0.01856602,0.03722005,0.4721444,0.4175697,0.001459804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08528043,0.0002420858,0.5686535,0.1077095,0.002513617,0.0007162346,0.000004147319,0.005733883,0.2291467],"genre_scores_gemma":[0.9201309,0.000005560936,0.06769133,0.003222277,0.0001079525,0.00002562581,2.559075e-7,0.000008604511,0.008807492],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8348505,"threshold_uncertainty_score":0.626398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03577469169998003,"score_gpt":0.2237631199543805,"score_spread":0.1879884282544005,"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."}}