{"id":"W1597017957","doi":"10.1007/978-3-540-45232-4_11","title":"Heuristic Optimization of Scheduling and Allocation for Distributed Systems with Soft Deadlines","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Software deployment; Scheduling (production processes); Distributed computing; Queueing theory; Heuristic; Mathematical optimization; Computer network","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":[0.002052027,0.001371352,0.002012689,0.001220374,0.0007769557,0.001602904,0.001873781,0.001533621,0.003340245],"category_scores_gemma":[0.003967877,0.001184096,0.0007903579,0.001717228,0.001334588,0.001257536,0.001107207,0.001234108,0.0003515366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002326161,"about_ca_system_score_gemma":0.002353411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007903529,"about_ca_topic_score_gemma":0.008281374,"domain_scores_codex":[0.9992371,0.0003248969,0.00002490369,0.00007916081,0.0001625334,0.0001715625],"domain_scores_gemma":[0.9982376,0.00132032,0.0001347806,0.00007577015,0.000124963,0.0001064937],"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":[0.00007542955,0.00003030003,0.00005689232,0.00003243485,0.00001580385,0.00001368509,0.00001249803,0.9860488,0.0002621386,0.003891841,0.0005690918,0.008991073],"study_design_scores_gemma":[0.00002980001,0.00001979798,0.00002721049,0.000003769864,0.000005760946,0.000004081213,0.000007249354,0.9964706,0.0001120494,0.003118035,0.0001985244,0.000003109215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06857564,0.001652711,0.9185428,0.0004227912,0.0002392749,0.0001688532,0.0001491363,0.0005758801,0.009672874],"genre_scores_gemma":[0.7307529,0.0008111323,0.2606234,0.0001596236,0.0001710205,0.0003687105,0.0002161359,0.0002320762,0.006665024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007903529,"threshold_uncertainty_score":0.01687753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444068249298589,"score_gpt":0.2322584779265558,"score_spread":0.2178177954335699,"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."}}