{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00229863,0.001439006,0.001594602,0.001489848,0.000392359,0.0009376972,0.0008955651,0.0008261693,0.0000312468],"category_scores_gemma":[0.000675259,0.001569208,0.00021562,0.003179098,0.0001614027,0.001294269,0.0001808888,0.001101106,0.0003293099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002117399,"about_ca_system_score_gemma":0.00004363984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001743543,"about_ca_topic_score_gemma":0.000004270914,"domain_scores_codex":[0.9927633,0.00002562904,0.002391659,0.001550185,0.001120113,0.002149134],"domain_scores_gemma":[0.996336,0.0007660859,0.00103014,0.0003541238,0.0009733424,0.0005403183],"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":[0.001057063,0.0003847006,0.00495086,0.002749856,0.0003102767,0.00005664451,0.004656669,0.5118688,0.395009,0.01309176,0.06507976,0.0007845798],"study_design_scores_gemma":[0.004108687,0.0005006499,0.004908511,0.01034009,0.0001958924,0.0002637268,0.006770228,0.9526224,0.01346569,0.0001684989,0.002685239,0.003970379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9384745,0.0002065677,0.002469346,0.0001452843,0.0008366737,0.002846602,0.00009855728,0.003294398,0.05162812],"genre_scores_gemma":[0.995189,0.0006236467,0.001049707,0.00005542669,0.0006371543,0.0003172915,0.0003004638,0.0005687773,0.001258524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4407536,"threshold_uncertainty_score":0.999836,"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."}}