{"id":"W4237967764","doi":"10.22215/etd/2009-08851","title":"Incorporating fair share scheduling into the Layered Queueing Network model","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Queueing theory; Computer science; Scheduling (production processes); Computer network; Mathematics; Mathematical optimization","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":[0.00142893,0.0004340849,0.0005670016,0.0003698924,0.0005147355,0.001787393,0.001553548,0.0007000757,0.003333173],"category_scores_gemma":[0.004509549,0.0003937548,0.0005382713,0.0005037928,0.0004467238,0.002602368,0.0009446969,0.000964975,0.0004509305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002152369,"about_ca_system_score_gemma":0.002927443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02066898,"about_ca_topic_score_gemma":0.01750674,"domain_scores_codex":[0.9995605,0.0001647057,0.00001583679,0.00005392604,0.0001254826,0.00007944846],"domain_scores_gemma":[0.9989655,0.0005486189,0.00007822803,0.00009955871,0.0001959738,0.0001120238],"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":[0.00006802495,0.000043399,0.0003750257,0.0000182189,0.00002026913,0.00003674994,0.00004120362,0.9419487,0.00100508,0.04596311,0.0006650123,0.00981524],"study_design_scores_gemma":[0.000003689123,0.000006210656,0.00001815264,0.00000139548,0.000004588215,0.000002013749,0.000002789794,0.9930571,0.00008586622,0.006599282,0.0002159535,0.000002979675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04717204,0.0003114413,0.9434796,0.0007172615,0.0001770141,0.00004921546,0.0001102961,0.0004645009,0.007518635],"genre_scores_gemma":[0.8699347,0.0004016495,0.1193656,0.000130702,0.0001070977,0.00007015323,0.00009548877,0.0001215054,0.009773118],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02066898,"threshold_uncertainty_score":0.04109734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306852234380159,"score_gpt":0.2593622359959716,"score_spread":0.24629371365217,"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."}}