{"id":"W2807331033","doi":"10.5555/3213200.3213211","title":"Simulating link aggregation in private virtual lan using openflow for cloud environment","year":2018,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Computer science; Computer network; Cloud computing; OpenFlow; Software-defined networking; Link layer; Port (circuit theory); Distributed computing; Telecommunications link; Isolation (microbiology); Virtual LAN; Operating system; Engineering","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":[0.0007023617,0.0001343055,0.0001591777,0.0001087241,0.0007826811,0.0002283877,0.001082071,0.00007408032,0.000001381626],"category_scores_gemma":[0.00001448335,0.0001390987,0.00003390533,0.0003701367,0.0002259887,0.000298567,0.001073305,0.000152494,0.000003067573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009024654,"about_ca_system_score_gemma":0.00003891449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002561287,"about_ca_topic_score_gemma":0.0000201773,"domain_scores_codex":[0.9988386,0.00008447075,0.0003145107,0.0003215989,0.0001200713,0.0003207203],"domain_scores_gemma":[0.9980431,0.000396817,0.0001481154,0.001292844,0.00005160474,0.00006749938],"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":[0.00004160816,0.0001598209,0.01962692,0.00002168491,0.00004558163,0.00000142249,0.003787238,0.01945521,0.003011459,0.08861685,0.0001134435,0.8651187],"study_design_scores_gemma":[0.0004221842,0.0001132259,0.0005475973,0.0001381331,0.000009392596,0.000003654932,0.00001414406,0.957019,0.0001181875,0.002373793,0.03906267,0.000178029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1065611,0.002901099,0.8855692,0.002348511,0.000938393,0.0008254646,0.000003202646,0.000181783,0.0006713172],"genre_scores_gemma":[0.8966057,0.0009444584,0.1015453,0.0001962787,0.0006301926,0.00003264616,0.00001120358,0.00001665646,0.00001754529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9375638,"threshold_uncertainty_score":0.601983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0440534452637792,"score_gpt":0.2843590435562255,"score_spread":0.2403055982924463,"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."}}