{"id":"W4404910404","doi":"10.1145/3694811.3697824","title":"Dynamic Service Function Chaining Provisioning with Reinforcement Learning Graph Neural Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ciena (Canada); Concordia University","funders":"Universitas Brawijaya","keywords":"Chaining; Computer science; Reinforcement learning; Provisioning; Artificial neural network; Function (biology); Distributed computing; Computer network; Artificial intelligence","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":[0.001067675,0.0006081701,0.0009073842,0.0005729333,0.000411843,0.0007832902,0.001188027,0.001033408,0.002692061],"category_scores_gemma":[0.003718432,0.0004682776,0.0003958358,0.0006209888,0.0006660072,0.001129819,0.0008196669,0.001470157,0.0002838915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085649,"about_ca_system_score_gemma":0.001039519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00952451,"about_ca_topic_score_gemma":0.008215877,"domain_scores_codex":[0.9995973,0.0001257367,0.0000176755,0.00009510155,0.00008304197,0.00008118486],"domain_scores_gemma":[0.9982361,0.001100393,0.0001762015,0.0001230568,0.0002689629,0.00009534285],"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":[0.00005545959,0.00003442894,0.0001913138,0.00001538991,0.00001007835,0.00001711389,0.00001057855,0.9795445,0.0002990798,0.001789686,0.0003506234,0.01768179],"study_design_scores_gemma":[0.000002314453,0.000004856289,0.00001696862,9.406655e-7,0.00000150244,0.000001560223,8.672927e-7,0.9990262,0.00004868293,0.0008704752,0.00002470955,9.728041e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08177529,0.000347501,0.9124877,0.0004120999,0.0001108852,0.00007697807,0.00008818411,0.0008724377,0.003828913],"genre_scores_gemma":[0.9585473,0.00009114138,0.03920437,0.00007219323,0.00002634097,0.00005437709,0.00006473489,0.00003486079,0.0019046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00952451,"threshold_uncertainty_score":0.01893818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006161618780138304,"score_gpt":0.2158357405392863,"score_spread":0.209674121759148,"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."}}