{"id":"W4414197168","doi":"10.1109/lcn65610.2025.11146365","title":"P3PO: Parallel Processing For Priority Ordering In Programmable Schedulers","year":2025,"lang":"en","type":"article","venue":"","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada)","funders":"","keywords":"Scalability; Scheduling (production processes); Network packet; Priority queue; Weighted round robin; Queue; Implementation; Round-robin scheduling; Packet processing; Priority inheritance","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":[0.0001450931,0.0001019829,0.0001252641,0.0001237047,0.00005436359,0.00007716476,0.00008857393,0.00007072134,0.0000111009],"category_scores_gemma":[0.00004615554,0.0001043352,0.00002926856,0.0004151941,0.00001292653,0.0001219221,0.00001403777,0.0001009132,0.000002644472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005725331,"about_ca_system_score_gemma":0.00004847244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009640692,"about_ca_topic_score_gemma":0.00003493505,"domain_scores_codex":[0.9993659,0.000004792652,0.0001835344,0.0001455064,0.00005594438,0.0002443352],"domain_scores_gemma":[0.9997917,0.0000234794,0.00001172766,0.00009517951,0.00004595674,0.00003188849],"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":[0.00001054895,0.00002975041,0.001779022,0.0003095497,0.00001521024,6.892057e-7,0.000122272,0.9126878,0.00006138082,0.001600486,0.0001009926,0.08328231],"study_design_scores_gemma":[0.0006286989,0.000006664651,0.0002112263,0.00007066497,0.000005247512,3.534335e-7,0.0002174847,0.9959217,0.0005626843,0.0003417342,0.00190805,0.0001255035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01153471,0.0004945102,0.978229,0.0001668685,0.0002292676,0.0003963008,6.582032e-7,0.0006442229,0.008304386],"genre_scores_gemma":[0.2112331,0.00002535831,0.7876151,0.000057441,0.00002827611,0.0001551387,0.000006807671,0.00002011571,0.0008586514],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1996984,"threshold_uncertainty_score":0.4254668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149344033873921,"score_gpt":0.259902317997919,"score_spread":0.2484088776591797,"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."}}