{"id":"W2470210030","doi":"10.1109/noms.2016.7502829","title":"Joint NFV placement and routing for multicast service on SDN","year":2016,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Chaining; Computer network; Multicast; Network Functions Virtualization; Cloud computing; Software-defined networking; Distributed computing; Routing (electronic design automation); Protocol Independent Multicast; Distance Vector Multicast Routing Protocol; Source-specific multicast; Xcast; 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":[0.0006312949,0.000741959,0.0007224401,0.001094738,0.001351952,0.0008219695,0.001055565,0.0009231723,0.003310197],"category_scores_gemma":[0.002134101,0.0002991548,0.0004283197,0.0007921748,0.0003839387,0.001088745,0.001489677,0.0004394955,0.000508839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185187,"about_ca_system_score_gemma":0.001197124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00599421,"about_ca_topic_score_gemma":0.009039886,"domain_scores_codex":[0.9994926,0.0001173993,0.00003151426,0.0000883824,0.0001265115,0.0001436163],"domain_scores_gemma":[0.999451,0.0001733589,0.00006004146,0.00009903527,0.0001434815,0.00007307154],"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":[0.0005466191,0.0002633758,0.003645491,0.000132861,0.00005356791,0.0003390052,0.0003473936,0.5345994,0.01747814,0.01844672,0.008098027,0.4160494],"study_design_scores_gemma":[0.00002159746,0.00004795977,0.0002609636,0.000006507365,0.000007846522,0.00005025365,0.00008229537,0.9895452,0.003166145,0.005466191,0.00133621,0.000008861443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.130037,0.0002196744,0.8605824,0.000392301,0.0001187987,0.0002021652,0.0001511986,0.002018385,0.006278026],"genre_scores_gemma":[0.6134211,0.000102351,0.382974,0.00006021314,0.00003121506,0.00008837162,0.0003734012,0.000115508,0.002833899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00599421,"threshold_uncertainty_score":0.0119186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03880580388391328,"score_gpt":0.2469808578059229,"score_spread":0.2081750539220097,"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."}}