{"id":"W2625598272","doi":"10.1109/fmec.2017.7946402","title":"Decentralized data offloading for mobile cloud computing based on game theory","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Game theory; Nash equilibrium; Cloud computing; Potential game; Mobile device; Computation offloading; Server; Mobile computing; Computer network; Mobile cloud computing; Distributed computing; Edge computing; Mathematical optimization; Operating system","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":[0.001010127,0.0007414176,0.001146104,0.0004307365,0.001042471,0.001662255,0.001237429,0.0008648217,0.002021049],"category_scores_gemma":[0.001773693,0.0003790498,0.0009771255,0.000674153,0.001240777,0.001872393,0.001319181,0.001459705,0.0001741497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001916784,"about_ca_system_score_gemma":0.002383007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005905422,"about_ca_topic_score_gemma":0.005628746,"domain_scores_codex":[0.9985934,0.0005720201,0.0000497263,0.0001997328,0.000339504,0.0002456067],"domain_scores_gemma":[0.9991823,0.0004626262,0.00007452916,0.00007355852,0.0001264661,0.00008048678],"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":[0.00009700155,0.0001424622,0.0006413138,0.0001541242,0.00007279353,0.0002649553,0.0001798643,0.6014825,0.00610556,0.3625973,0.002518224,0.02574384],"study_design_scores_gemma":[0.00002093477,0.00002119698,0.0001185755,0.000007261068,0.000008785659,0.00003223848,0.00003514475,0.951766,0.0003652641,0.0465925,0.001021912,0.0000102357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02151497,0.0002243893,0.9695697,0.0004358089,0.00006180369,0.0001902969,0.00003921983,0.00008325698,0.0078805],"genre_scores_gemma":[0.8912307,0.0004201334,0.1044832,0.0001746378,0.00008057596,0.000313855,0.0000543074,0.00003795623,0.003204669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005905422,"threshold_uncertainty_score":0.01390731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08317679796540489,"score_gpt":0.3310439768499039,"score_spread":0.2478671788844991,"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."}}