{"id":"W4402293519","doi":"10.1002/9781119912965.ch3","title":"Resource Management Techniques for Distributed Computing Systems","year":2024,"lang":"en","type":"other","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Distributed computing; Resource Management System; Resource (disambiguation); Resource management (computing); Resource allocation; 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":[0.001454647,0.001283227,0.0009018836,0.00162131,0.001227439,0.002996941,0.001853825,0.001029073,0.01345338],"category_scores_gemma":[0.003168737,0.0006815662,0.0007592682,0.002814423,0.001232042,0.003146317,0.001796698,0.002927951,0.007919885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137759,"about_ca_system_score_gemma":0.001182882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001608142,"about_ca_topic_score_gemma":0.001892637,"domain_scores_codex":[0.9985254,0.000371573,0.0001386723,0.000181853,0.000704956,0.00007755311],"domain_scores_gemma":[0.9991972,0.0003000106,0.00005946199,0.0002231098,0.000192823,0.00002746728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002278634,0.00004843196,0.0001233656,0.0007873235,0.00005210048,0.000225584,0.0004916023,0.01702524,0.003779311,0.6410725,0.06333273,0.273039],"study_design_scores_gemma":[0.00002801028,0.0000269912,0.0001636681,0.0002978716,0.00002905872,0.0004172937,0.000136925,0.04992954,0.001588675,0.2645727,0.6827749,0.00003431983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001108408,0.0211756,0.9031485,0.002441493,0.001170505,0.0003985447,0.0002409284,0.002398031,0.06791797],"genre_scores_gemma":[0.03842978,0.02655891,0.8856247,0.0009934972,0.001419328,0.001080093,0.0005282101,0.0007259638,0.04463957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01345338,"threshold_uncertainty_score":0.0450061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476091032483291,"score_gpt":0.2613480938406993,"score_spread":0.2465871835158664,"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."}}