{"id":"W4387870717","doi":"10.1109/iccworkshops57953.2023.10283498","title":"Reinforcement Learning-enabled Auctions for Self-Healing in Service Function Chaining","year":2023,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Carleton University","funders":"","keywords":"Chaining; Reinforcement learning; Computer science; Cloud computing; Distributed computing; Service (business); Common value auction; Function (biology); Fault (geology); Software; Bidding; Artificial intelligence; 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":[0.002452505,0.0007839137,0.001277669,0.0004594715,0.0005206584,0.001129765,0.001601731,0.0008889887,0.002395343],"category_scores_gemma":[0.005682333,0.0003440914,0.0004477715,0.000472337,0.001214657,0.001163421,0.001187223,0.001419876,0.0002463282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001265722,"about_ca_system_score_gemma":0.001479981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002598572,"about_ca_topic_score_gemma":0.002510754,"domain_scores_codex":[0.9988299,0.0005424261,0.00005328626,0.0001656675,0.0002098123,0.0001988789],"domain_scores_gemma":[0.9965953,0.002151417,0.0004133589,0.0002112387,0.0003849429,0.0002437906],"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":[0.0001314534,0.0001354359,0.0004816201,0.00006444164,0.00003647852,0.00009285199,0.0000501038,0.9567246,0.001673217,0.01722657,0.0004864712,0.02289675],"study_design_scores_gemma":[0.0000150767,0.00002662522,0.0000354374,0.000002334838,0.000003473446,0.00001057543,0.000004368259,0.9957051,0.0001879894,0.003875935,0.0001300313,0.000003120595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04899463,0.0003289151,0.9466859,0.0001997705,0.00005487724,0.0001147031,0.0000245196,0.0002846341,0.00331215],"genre_scores_gemma":[0.9531045,0.0001073906,0.04522178,0.00006199922,0.00002294923,0.00008537919,0.00001813751,0.00002450808,0.001353476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002598572,"threshold_uncertainty_score":0.01297027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02556115057329256,"score_gpt":0.2511366992751007,"score_spread":0.2255755487018082,"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."}}