{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004339231,0.0001531841,0.0001228608,0.0001127485,0.0002752362,0.000340023,0.000273353,0.00006056946,0.00001575474],"category_scores_gemma":[0.000006464056,0.00009931165,0.0000474041,0.000931553,0.00001775093,0.0008296552,0.0001479032,0.0003052741,0.00002994207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006417572,"about_ca_system_score_gemma":0.00004748997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000841949,"about_ca_topic_score_gemma":0.00003634132,"domain_scores_codex":[0.9987298,0.00004150561,0.0002255683,0.0004237813,0.0002767199,0.0003026483],"domain_scores_gemma":[0.9994249,0.0000668783,0.00004857849,0.0003141406,0.0000807815,0.00006472213],"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":[0.00001358325,0.000005234781,0.003265082,0.0001166344,0.00002505715,0.000009105908,0.001011157,0.9471367,0.00002633891,0.001433211,0.00002739048,0.04693048],"study_design_scores_gemma":[0.0001208921,0.0002692521,0.002188084,0.0001664782,0.000008627758,0.00003291501,0.0002026014,0.9964345,0.00001027908,0.00005252982,0.0003569883,0.0001568991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06995137,0.0002018227,0.9261978,0.0003065227,0.0007818311,0.0001966796,2.799615e-8,0.001168631,0.00119537],"genre_scores_gemma":[0.9963518,0.000008277369,0.002726535,0.0002311981,0.00005294705,0.00002987921,0.000005007,0.00001264,0.000581659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9264005,"threshold_uncertainty_score":0.4049811,"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."}}