{"id":"W2097364154","doi":"10.1109/icdcs.2004.1281630","title":"sFlow: towards resource-efficient and agile service federation in service overlay networks","year":2004,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Distributed computing; Quality of service; Service (business); Agile software development; Computer network; Differentiated service; Provisioning; Path (computing); Service composition; Graph; Resource (disambiguation); Overlay network; Service provider; Service design; World Wide Web; The Internet; Software engineering; Business; Theoretical computer science","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":[0.0004041378,0.0002134239,0.0002071905,0.0001963962,0.0001589261,0.0003752004,0.0009184318,0.0001717901,0.000006805687],"category_scores_gemma":[0.00003642647,0.0001998391,0.00002372687,0.001844873,0.00002040787,0.0002730956,0.0009744741,0.0002513068,0.00004806879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709903,"about_ca_system_score_gemma":0.00006960574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001013637,"about_ca_topic_score_gemma":0.003743934,"domain_scores_codex":[0.998225,0.00004196632,0.0002871254,0.0006139186,0.000338317,0.0004936254],"domain_scores_gemma":[0.9989647,0.00005247312,0.00005664108,0.0006882327,0.0001210635,0.000116936],"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":[0.00001119428,0.00008837122,0.0002149973,0.00001601668,0.000007468213,0.0000263801,0.001324176,0.9426046,0.0002254602,0.01969814,0.002013145,0.03377005],"study_design_scores_gemma":[0.0007974679,0.0001015973,0.01235436,0.00009556307,0.000003988967,0.00003504709,0.000235199,0.971102,0.001327204,0.002256733,0.01124252,0.0004483118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3635511,0.0002148152,0.5761425,0.05181132,0.0002395467,0.0004554896,0.000001265407,0.001119623,0.006464335],"genre_scores_gemma":[0.9369238,0.00001087361,0.05197297,0.01083791,0.00006526944,0.00003636393,0.000004689857,0.00001497021,0.0001331218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5733727,"threshold_uncertainty_score":0.8149202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153173766219209,"score_gpt":0.2258358142919808,"score_spread":0.2143040766297887,"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."}}