{"id":"W2095445631","doi":"10.1109/iri.2013.6642495","title":"Efficient live wide area VM migration with IP address change using type II hypervisor","year":2013,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Live migration; Computer science; Hypervisor; Operating system; Virtual machine; Computer network; Host (biology); Network packet; State (computer science); Virtual network; Distributed computing; Virtualization; Cloud computing","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":[0.000273982,0.0003178504,0.0002546272,0.0002934005,0.0003719371,0.0007389097,0.001001828,0.000332571,0.00113211],"category_scores_gemma":[0.000750032,0.0001599253,0.0002786031,0.000251073,0.0002472065,0.0009223766,0.0005883701,0.0004444666,0.0004162707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004099087,"about_ca_system_score_gemma":0.0005900886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002041902,"about_ca_topic_score_gemma":0.001879839,"domain_scores_codex":[0.9996643,0.00006775415,0.00002039288,0.0000567136,0.0001037014,0.00008722935],"domain_scores_gemma":[0.9994833,0.00007856773,0.00005902358,0.0002323263,0.0001052825,0.00004144898],"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":[0.001191432,0.0006082861,0.008539768,0.0002043045,0.0001029554,0.000406307,0.0003860735,0.08952544,0.3805431,0.005831619,0.005878512,0.5067822],"study_design_scores_gemma":[0.0001532184,0.0005760411,0.004780285,0.00002822481,0.00004724347,0.0003971482,0.0001880213,0.7239031,0.2555592,0.002876391,0.01144146,0.00004967414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4919044,0.0003345935,0.4890516,0.0002093974,0.000116712,0.0002507288,0.0001269355,0.009157382,0.008848344],"genre_scores_gemma":[0.876658,0.0001060241,0.119138,0.00003966808,0.00001214681,0.00005440895,0.0001653125,0.0001733228,0.003653158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002041902,"threshold_uncertainty_score":0.00405997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05967615546922823,"score_gpt":0.2413240629212951,"score_spread":0.1816479074520669,"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."}}