{"id":"W2134539842","doi":"10.1109/isit.2011.6033860","title":"On the stability region of multi-queue multi-server queueing systems with stationary channel distribution","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Queueing theory; Queue; Polytope; Stability (learning theory); Computer science; Channel (broadcasting); Stationary distribution; Layered queueing network; Network packet; Bulk queue; Applied mathematics; Mathematical optimization; Mathematics; Computer network; Discrete mathematics","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":[0.0020929,0.0008645131,0.0008477169,0.00100172,0.0006968444,0.00159039,0.0008161748,0.0005858182,0.003000405],"category_scores_gemma":[0.008189149,0.0003291307,0.0005885087,0.0005757863,0.001424318,0.001757868,0.0008966526,0.001235057,0.0005137185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296253,"about_ca_system_score_gemma":0.001162794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003316093,"about_ca_topic_score_gemma":0.0010289,"domain_scores_codex":[0.999108,0.0003313496,0.00002780201,0.0001573107,0.0002089684,0.0001665828],"domain_scores_gemma":[0.9915586,0.006298175,0.0006779604,0.0001610734,0.001097132,0.0002070335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003815781,0.0001202937,0.001573589,0.0002776046,0.00008784921,0.0003468852,0.0005574524,0.7668281,0.01901807,0.1927077,0.002048457,0.01605237],"study_design_scores_gemma":[0.0000139663,0.00005857366,0.0002845754,0.00002599185,0.00001234493,0.0000362717,0.00006798566,0.9692541,0.001692245,0.0280367,0.000503103,0.00001425388],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1609517,0.003187967,0.8172412,0.001049397,0.0000682676,0.0001133088,0.0002654192,0.0002248141,0.01689798],"genre_scores_gemma":[0.9797934,0.001249041,0.01640025,0.00009046668,0.00009301903,0.00009539143,0.0001178787,0.00006755833,0.002093118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003316093,"threshold_uncertainty_score":0.01106846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0470320503252314,"score_gpt":0.2092437801537135,"score_spread":0.1622117298284821,"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."}}