{"id":"W4236879703","doi":"10.22215/etd/2013-06536","title":"Efficient live wide area VM migration with IP adddress change using type II hypervisor","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Operating system; Hypervisor; Computer science; Virtualization","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":[0.0002864824,0.0004424093,0.0002993793,0.0004145911,0.0003385914,0.0009757153,0.00107265,0.0002809142,0.003700805],"category_scores_gemma":[0.001182402,0.000185218,0.0002599695,0.0003515128,0.0002260519,0.0009730249,0.0007764731,0.0005430927,0.0008029041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004072828,"about_ca_system_score_gemma":0.0006758613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002160273,"about_ca_topic_score_gemma":0.003159952,"domain_scores_codex":[0.9996105,0.00007083183,0.00002654039,0.00007005523,0.0001016077,0.0001204134],"domain_scores_gemma":[0.9992898,0.0001045293,0.00006067174,0.0003177745,0.0001270538,0.0001001918],"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":[0.002117905,0.001028641,0.007058055,0.000132386,0.0001196126,0.0003245459,0.0002670148,0.05067605,0.1963239,0.003923255,0.01132238,0.7267062],"study_design_scores_gemma":[0.0002915295,0.001049607,0.005855853,0.00002722628,0.00007087072,0.0002965302,0.0002237341,0.8456383,0.1321883,0.003063575,0.01125495,0.00003951236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6241785,0.0005387149,0.3322716,0.0003610654,0.000337173,0.0003682484,0.0002543627,0.01966799,0.02202243],"genre_scores_gemma":[0.9167143,0.00009302289,0.07427219,0.00006509211,0.00002968221,0.0000645419,0.0003417416,0.0003530582,0.008066434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003700805,"threshold_uncertainty_score":0.01238036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03968388936630534,"score_gpt":0.2456173888220869,"score_spread":0.2059334994557816,"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."}}