{"id":"W2144383277","doi":"10.1109/e-science.2005.53","title":"Improving GridFTP Performance with Split TCP Connections","year":2006,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Computer science; Computer network; Zeta-TCP; TCP hole punching; Throughput; TCP tuning; Distributed computing; TCP acceleration; Bandwidth (computing); Grid; Heterogeneous network; Transmission Control Protocol; Operating system; Wireless network; Wireless; Network packet","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008453922,0.00009025552,0.00008181467,0.00004149739,0.0001742649,0.0001214884,0.0002707034,0.00002693654,0.00004233104],"category_scores_gemma":[0.000002226394,0.00006701903,0.00002408927,0.0002434116,0.00002862029,0.0003620145,0.00003877061,0.00008214988,0.00009027476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001784651,"about_ca_system_score_gemma":0.00004888371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007177212,"about_ca_topic_score_gemma":0.0001046951,"domain_scores_codex":[0.999285,0.00001248916,0.0001182247,0.00023468,0.0001346947,0.0002149171],"domain_scores_gemma":[0.9995336,0.00004129859,0.00004218068,0.0002731451,0.00006437062,0.00004538628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009619532,0.00005023546,0.002353306,0.000006812859,0.000009939076,0.000007126767,0.00002042358,0.005543328,0.000121613,0.4845256,0.003108153,0.5042439],"study_design_scores_gemma":[0.0005547394,0.0001242689,0.007543174,0.00001017067,0.000007475407,0.00004954753,0.00001070763,0.973586,0.0002330252,0.0001856051,0.0174879,0.000207383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09325211,0.00004211046,0.8823581,0.001346743,0.0002117373,0.0001013517,2.946134e-7,0.0004556318,0.02223187],"genre_scores_gemma":[0.9750615,0.000002416443,0.01927797,0.0002641086,0.0001759845,0.00001896868,9.350225e-7,0.000004945478,0.005193112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9680427,"threshold_uncertainty_score":0.2732957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003646429267973206,"score_gpt":0.1600856631130407,"score_spread":0.1564392338450675,"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."}}