{"id":"W2135050820","doi":"10.1109/infcomw.2011.5928889","title":"Egalitarian stable matching for VM migration in cloud computing","year":2011,"lang":"en","type":"article","venue":"","topic":"Complexity and Algorithms in Graphs","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Server; Cloud computing; Computer science; Matching (statistics); Virtual machine; Distributed computing; Rank (graph theory); Outcome (game theory); Work (physics); Mathematical optimization; Theoretical computer science; Computer network; Operating system; Mathematical economics; Mathematics","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":[0.000475716,0.00008194052,0.0001069103,0.0001014101,0.0001274769,0.00008626321,0.00045508,0.00003316131,0.00002239375],"category_scores_gemma":[0.00001436301,0.00007879543,0.00004762637,0.0002624222,0.00001672998,0.0004020613,0.0001387104,0.00007843132,0.000008636285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002257461,"about_ca_system_score_gemma":0.00002520527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002010601,"about_ca_topic_score_gemma":0.001525622,"domain_scores_codex":[0.999171,0.00003363207,0.0002064679,0.0002484429,0.00009840452,0.0002420429],"domain_scores_gemma":[0.9995474,0.00008569435,0.00004387699,0.0002483839,0.00003564254,0.0000390138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004944134,0.00007385318,0.001073383,0.0000154686,0.000005443354,0.00000252684,0.006862164,0.0001450456,0.00009511457,0.9733795,0.0003935708,0.01794901],"study_design_scores_gemma":[0.0004487602,0.00008389483,0.00593554,0.00003567155,0.000002263708,0.000005964639,0.0004373022,0.5155278,0.001700877,0.4732893,0.002285157,0.0002474287],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0431397,0.00002007907,0.9498421,0.0002734963,0.0004565134,0.0001634893,0.000001135316,0.0001226833,0.005980818],"genre_scores_gemma":[0.5620806,9.567128e-7,0.4375738,0.0001647493,0.00005123975,0.000004805162,0.000001673591,0.000003531162,0.0001186506],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5189409,"threshold_uncertainty_score":0.3213184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05727396206257437,"score_gpt":0.2652118144166776,"score_spread":0.2079378523541032,"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."}}