{"id":"W2979293126","doi":"","title":"A scalable load balancer for forwarding internet traffic","year":2005,"lang":"en","type":"article","venue":"Architectures for Networking and Communications Systems","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Burstiness; Packet forwarding; Computer network; Scheduling (production processes); Load balancing (electrical power); The Internet; Distributed computing; IP forwarding; Network packet; Cache; Scalability; Internet traffic; Virtual routing and forwarding; Routing protocol; Routing table; Operating system","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":[0.00111751,0.0005476152,0.0007257859,0.0007939814,0.0009533773,0.0009533577,0.001639772,0.0006066635,0.002629752],"category_scores_gemma":[0.001951918,0.0003618299,0.0002467049,0.0006832383,0.0005599719,0.001515195,0.0006036119,0.0005849288,0.00109104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037057,"about_ca_system_score_gemma":0.0009705362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155167,"about_ca_topic_score_gemma":0.002093078,"domain_scores_codex":[0.9995808,0.00005389186,0.00002297175,0.00009205969,0.0002063393,0.00004385993],"domain_scores_gemma":[0.9994374,0.0001680275,0.0000870271,0.0001182453,0.000129882,0.00005942605],"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":[0.000670871,0.0007269163,0.002486954,0.0002431101,0.0001064354,0.0003593246,0.0003021745,0.1754528,0.2151121,0.01778262,0.01250398,0.5742527],"study_design_scores_gemma":[0.0001185401,0.0001612622,0.0005928516,0.000008916173,0.00002910756,0.0001087148,0.00003548732,0.969591,0.01653908,0.007455069,0.005338563,0.0000214285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1215091,0.0006589865,0.8612989,0.0006418903,0.0001777086,0.0003909584,0.0001521621,0.009658313,0.005511947],"genre_scores_gemma":[0.783794,0.0003754632,0.2104383,0.0002021995,0.0002524352,0.0002888264,0.000254949,0.0003132928,0.004080425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002629752,"threshold_uncertainty_score":0.008797407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237317679809963,"score_gpt":0.2586625903448403,"score_spread":0.2362894135467407,"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."}}