{"id":"W2143964524","doi":"10.1007/978-3-540-68083-3_15","title":"A Fuzzy Grid-QoS Framework for Obtaining Higher Grid Resources Availability","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Quality of service; Computer science; Grid; Vagueness; Grid computing; Fuzzy logic; Service-level agreement; Distributed computing; Mobile QoS; Scalability; Quality (philosophy); Service (business); Database; Service provider; Computer network; Business; Artificial intelligence","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":[0.0011945,0.0003726642,0.0005480996,0.0005658509,0.0007280094,0.00141327,0.001484956,0.0007343884,0.003922931],"category_scores_gemma":[0.001603811,0.0002084476,0.0006355192,0.0006199597,0.0004554279,0.001146343,0.001010638,0.00100597,0.0006110144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009071291,"about_ca_system_score_gemma":0.001208355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005392738,"about_ca_topic_score_gemma":0.006835936,"domain_scores_codex":[0.9994777,0.00009716487,0.00003973509,0.00008607576,0.0002422146,0.00005713989],"domain_scores_gemma":[0.9995023,0.0001355459,0.00003259386,0.00007779981,0.0001947983,0.00005689823],"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":[0.0003411521,0.0002600727,0.001296569,0.000258331,0.00008477625,0.0004308135,0.0002837277,0.3916097,0.03199587,0.2752604,0.007924948,0.2902537],"study_design_scores_gemma":[0.00001396415,0.00002525426,0.0001548499,0.00001005648,0.00001694662,0.0000661852,0.00002407071,0.9697806,0.003857607,0.02281709,0.003219601,0.00001377849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005077053,0.0000724127,0.9916297,0.00008834972,0.00003108687,0.00003675473,0.00005105006,0.0006610797,0.002352582],"genre_scores_gemma":[0.2869931,0.0001267701,0.7090515,0.00008663799,0.00005778335,0.00007772218,0.0001383956,0.000100735,0.003367371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005392738,"threshold_uncertainty_score":0.01312351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02916161999711185,"score_gpt":0.2608033914401544,"score_spread":0.2316417714430425,"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."}}