{"id":"W1505430488","doi":"10.1109/icdcs.2015.56","title":"Dynamoth: A Scalable Pub/Sub Middleware for Latency-Constrained Applications in the Cloud","year":2015,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Server; Scalability; Cloud computing; Latency (audio); Distributed computing; Load balancing (electrical power); Computer network; Middleware (distributed applications); Context (archaeology); Channel (broadcasting); Operating system; Telecommunications","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":[0.001574297,0.0007144045,0.000767481,0.0008236368,0.001263255,0.002218335,0.003194983,0.00071137,0.003446949],"category_scores_gemma":[0.003499268,0.000691796,0.0004760185,0.000923588,0.0007181619,0.003374161,0.003606368,0.00185438,0.001236484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013502,"about_ca_system_score_gemma":0.0026317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003327842,"about_ca_topic_score_gemma":0.003107356,"domain_scores_codex":[0.9988481,0.0001451429,0.0001005118,0.0001739032,0.0005656717,0.000166595],"domain_scores_gemma":[0.9980403,0.0004306392,0.0001324093,0.0007615964,0.0002630157,0.0003720847],"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":[0.0026298,0.001149553,0.01167674,0.001575397,0.0003782363,0.001863398,0.001282298,0.1079305,0.1408215,0.05636878,0.08291535,0.5914085],"study_design_scores_gemma":[0.0004621556,0.0005217631,0.004398149,0.00008992499,0.0001365938,0.00108453,0.0005153268,0.7840452,0.05742831,0.02725783,0.1237988,0.0002614543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07237481,0.001888182,0.818971,0.00120081,0.0007042604,0.00108342,0.0009461454,0.08639234,0.0164391],"genre_scores_gemma":[0.6995704,0.001312067,0.2771527,0.0007065699,0.0003141642,0.0004478559,0.001878214,0.003520944,0.01509715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003446949,"threshold_uncertainty_score":0.01153117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964973238950312,"score_gpt":0.2645065279725833,"score_spread":0.2248567955830802,"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."}}