{"id":"W4281767233","doi":"10.1109/noms54207.2022.9789762","title":"On Minimizing TCP Retransmission Delay in Softwarized Networks","year":2022,"lang":"en","type":"article","venue":"NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer network; Retransmission; Computer science; Network packet; TCP global synchronization; End-to-end delay; Transmission delay; Transmission Control Protocol; TCP Friendly Rate Control; TCP acceleration; Processing delay; Packet loss; Cache; Zeta-TCP; Real-time computing","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001145374,0.0003751227,0.0003872983,0.0003148414,0.001564501,0.0003010032,0.0008583682,0.00009804025,0.0002287856],"category_scores_gemma":[0.000005082411,0.0003927833,0.0001247906,0.001442302,0.00005238486,0.000386835,0.0005145083,0.0006759958,0.00001410874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001819683,"about_ca_system_score_gemma":0.00005637005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002925391,"about_ca_topic_score_gemma":0.00007882669,"domain_scores_codex":[0.996536,0.0004588387,0.0006395783,0.001046533,0.0005705876,0.0007484935],"domain_scores_gemma":[0.9986952,0.0001979373,0.0001084676,0.0007614442,0.00004133306,0.0001956205],"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":[0.00008890159,0.0001817858,0.0001417835,0.00001253308,0.00007448249,0.0001041635,0.0002597474,0.866745,0.00003867901,0.06088382,0.03224226,0.03922684],"study_design_scores_gemma":[0.001805095,0.0002472761,0.0002054918,0.00005524912,0.00004977897,0.0000173825,0.0001000329,0.9403301,0.000002604299,0.0004668251,0.05625599,0.0004641385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006941996,0.002009031,0.9718082,0.006418298,0.004667007,0.001871181,0.000009898234,0.0004508467,0.005823524],"genre_scores_gemma":[0.9547663,0.005142684,0.01733093,0.008295179,0.0008741692,0.002230139,0.000145937,0.00009255431,0.01112212],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9544773,"threshold_uncertainty_score":0.9998524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005962691807962288,"score_gpt":0.2031296389640475,"score_spread":0.1971669471560852,"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."}}