{"id":"W2964208564","doi":"10.5121/csit.2019.90916","title":"A MapReduce based Algorithm for Data Migration in a Private Cloud Environment","year":2019,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Cloud computing; Data center; Overhead (engineering); Server; Data migration; Distributed computing; Live migration; Software; Database; Big data; Distributed database; Resource (disambiguation); Algorithm; Data mining; Operating system; Virtualization; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004381904,0.00009400023,0.0001013924,0.00007422377,0.00003308443,0.00007918722,0.001110189,0.00002838458,0.00001626788],"category_scores_gemma":[0.000005114623,0.0000805726,0.00002907749,0.0001227954,0.000008635632,0.00003596987,0.0006863819,0.00005121316,0.00008683552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000430558,"about_ca_system_score_gemma":0.00001561154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004109,"about_ca_topic_score_gemma":0.000006741845,"domain_scores_codex":[0.998902,0.00003463697,0.000173919,0.0005024155,0.000178264,0.0002087349],"domain_scores_gemma":[0.9986819,0.00006942543,0.00004951057,0.001158123,0.000005735512,0.00003531422],"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":[0.000006289901,0.0002535578,0.001028428,0.00003581707,0.00001633104,0.000004159787,0.0002126827,0.01275456,0.0002038566,0.006232975,0.003614203,0.9756371],"study_design_scores_gemma":[0.000510842,0.00005796185,0.0005417922,0.00001472196,0.000002158864,5.389318e-7,0.0000118929,0.9238847,0.0002499642,0.0002406018,0.07437623,0.0001085374],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06973852,0.00003270293,0.9266853,0.002378592,0.000235515,0.0005193251,0.000002820869,0.00007870059,0.0003285026],"genre_scores_gemma":[0.1880661,0.000003052199,0.8086735,0.0007313401,0.00009885149,0.00003249755,0.0000330159,0.00001084481,0.002350821],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9755286,"threshold_uncertainty_score":0.3285655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983025065552511,"score_gpt":0.2314275527030128,"score_spread":0.2115973020474877,"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."}}