{"id":"W2096780974","doi":"10.1109/ipdps.2005.277","title":"Measuring Scalability of Resource Management Systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Manitoba","funders":"","keywords":"Scalability; Metric (unit); Overhead (engineering); Computer science; Distributed computing; Resource (disambiguation); Grid; Resource management (computing); Performance metric; Resource Management System; Resource allocation; Computer network; Engineering; Database; Operating system; Mathematics","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":[0.007460587,0.0008935095,0.0006851073,0.003140076,0.0006531955,0.001654832,0.001181107,0.0008194591,0.0007914705],"category_scores_gemma":[0.03093031,0.0003297095,0.0003912514,0.003229475,0.0009833538,0.004297257,0.001666493,0.0008139,0.0001919738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591963,"about_ca_system_score_gemma":0.0009880851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002070488,"about_ca_topic_score_gemma":0.001404587,"domain_scores_codex":[0.9915258,0.002811884,0.0006432722,0.0006928691,0.003775576,0.0005505836],"domain_scores_gemma":[0.9797816,0.01036563,0.003318567,0.002746095,0.003257859,0.0005301686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004564356,0.000408365,0.08879183,0.0007027977,0.0005657165,0.0003286225,0.001002292,0.6248635,0.06854995,0.03963706,0.003222969,0.1714705],"study_design_scores_gemma":[0.00003945439,0.0006959028,0.03765522,0.0000957567,0.00008887378,0.0002699437,0.0007024985,0.9005606,0.02652369,0.0290142,0.004247805,0.0001061017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6635557,0.002145626,0.314466,0.0009049482,0.0001087995,0.0005022582,0.0009646831,0.001728898,0.01562315],"genre_scores_gemma":[0.9627131,0.0003388746,0.03579212,0.00005416639,0.00005196607,0.0001780525,0.0004736583,0.0000624616,0.0003357315],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007460587,"threshold_uncertainty_score":0.03945589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02781545751044491,"score_gpt":0.2216633641960048,"score_spread":0.1938479066855599,"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."}}