{"id":"W2124502760","doi":"10.1109/igcc.2012.6322249","title":"Green cloud VM migration: Power use analysis","year":2012,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Live migration; Cloud computing; Computer science; Virtual machine; Energy consumption; Key (lock); Process (computing); Renewable energy; Power consumption; Distributed computing; Energy (signal processing); Power (physics); Operating system; Virtualization; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005639231,0.0004825562,0.0004127008,0.001557525,0.0003384507,0.0004837393,0.0006783346,0.0004733913,0.002110272],"category_scores_gemma":[0.002525487,0.0001835706,0.0003507392,0.002355579,0.0002595207,0.0008490175,0.0002584163,0.000340492,0.0004821842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005402028,"about_ca_system_score_gemma":0.0002724022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003139902,"about_ca_topic_score_gemma":0.002709845,"domain_scores_codex":[0.9994476,0.00008745272,0.00003133967,0.00009422532,0.0002218327,0.0001174843],"domain_scores_gemma":[0.9980107,0.001145367,0.0001455957,0.0002544223,0.0003716811,0.00007223819],"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":[0.003795056,0.001264685,0.123115,0.0006541713,0.000274087,0.001130501,0.0007040882,0.4164629,0.127783,0.00536954,0.01060012,0.3088468],"study_design_scores_gemma":[0.00004656148,0.0006974707,0.09134772,0.00001999958,0.00006729003,0.0005984131,0.0002632931,0.8544406,0.04736317,0.002192366,0.002920883,0.00004233596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815713,0.0004596915,0.01126625,0.0002152637,0.00002189287,0.00006802659,0.0009116113,0.0004499142,0.005036052],"genre_scores_gemma":[0.9964595,0.0001280155,0.001977106,0.00002523303,0.000009983146,0.00002505847,0.0004320996,0.00006555764,0.0008773226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003139902,"threshold_uncertainty_score":0.007059574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01882531329028461,"score_gpt":0.2336110493816288,"score_spread":0.2147857360913442,"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."}}