{"id":"W2153665435","doi":"10.1109/ecrts.2007.22","title":"On Dominating Set Allocation Policies in Real-Time Wide-Area Distributed Systems","year":2007,"lang":"en","type":"article","venue":"Proceedings - Euromicro Workshop on Real-Time Systems/Proceedings","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Heuristics; Computer science; Scheduling (production processes); Distributed computing; Workload; Resource allocation; Multiprocessing; Processor scheduling; Set (abstract data type); Time allocation; Mathematical optimization; Resource (disambiguation); Computer network; Parallel computing","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":[0.008446573,0.001754898,0.001723499,0.001458396,0.001567353,0.002393796,0.001579104,0.001699234,0.00230425],"category_scores_gemma":[0.02765027,0.0006046146,0.0008203959,0.002338218,0.003212216,0.003393452,0.001408769,0.002075844,0.0005182444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003300042,"about_ca_system_score_gemma":0.001998359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002061025,"about_ca_topic_score_gemma":0.001459753,"domain_scores_codex":[0.9942123,0.003703933,0.0002310418,0.0005327599,0.0009013368,0.0004185841],"domain_scores_gemma":[0.9746315,0.02174595,0.0009696774,0.0009617868,0.001312991,0.0003780186],"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":[0.000155616,0.00007966202,0.0004474035,0.0002258808,0.00004971633,0.00008791465,0.0002652621,0.7237708,0.001803688,0.2450437,0.001584747,0.02648557],"study_design_scores_gemma":[0.00005098694,0.0001373509,0.000177594,0.0000769992,0.00002423063,0.00006858556,0.00008486326,0.7943193,0.001254907,0.199143,0.004630186,0.00003211923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01815324,0.003240205,0.9676046,0.001058159,0.0002165175,0.0001611497,0.00006050525,0.00008913956,0.009416398],"genre_scores_gemma":[0.7173665,0.009718026,0.2647321,0.0008034651,0.0007997448,0.0006784773,0.0001620636,0.0001832485,0.005556366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008446573,"threshold_uncertainty_score":0.04467028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189917279702782,"score_gpt":0.2363390851595883,"score_spread":0.2244399123625605,"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."}}