{"id":"W2160955579","doi":"10.1109/tnet.2011.2107563","title":"On Dynamic Server Provisioning in Multichannel P2P Live Streaming","year":2011,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Networking","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Upload; Server; Computer network; Bandwidth (computing); Real Time Streaming Protocol; Provisioning; Live streaming; The Internet; Quality of service; Channel (broadcasting); Peer-to-peer; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004080617,0.0003781544,0.00032435,0.0006734238,0.0003386473,0.0001344,0.001851688,0.0002301153,0.00001848122],"category_scores_gemma":[0.00003693971,0.0003872476,0.0001251347,0.001415718,0.00005590221,0.0004468771,0.0000666011,0.0008122088,0.0001521982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003039472,"about_ca_system_score_gemma":0.00005095379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002068494,"about_ca_topic_score_gemma":0.001085069,"domain_scores_codex":[0.9972743,0.0001039057,0.0004471255,0.0009081027,0.0004185786,0.0008479785],"domain_scores_gemma":[0.9978296,0.0003887342,0.0001260666,0.001452075,0.00006550214,0.0001380066],"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":[0.00008745802,0.000468027,0.0003939088,0.00002159335,0.00006402269,0.0001649304,0.005616819,0.3065368,0.000255918,0.0007432189,0.0001035922,0.6855437],"study_design_scores_gemma":[0.001311947,0.001036236,0.00449662,0.001786894,0.00003562713,0.00003965111,0.0005978979,0.9699347,0.003615233,0.01537159,0.0004216697,0.001351929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1915937,0.00008195336,0.8037815,0.0003598926,0.002068859,0.0005426655,0.000002989424,0.001074361,0.0004940937],"genre_scores_gemma":[0.9284503,0.00003622145,0.07083578,0.0002991276,0.00006576016,0.0001134236,0.000001189545,0.00004196056,0.0001562237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7368566,"threshold_uncertainty_score":0.999858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03435184294614749,"score_gpt":0.2535558455465969,"score_spread":0.2192040026004494,"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."}}