{"id":"W4312471121","doi":"10.1109/bcca55292.2022.9922238","title":"Performance Modeling and Analysis of Hotstuff for Blockchain Consensus","year":2022,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Blockchain; Byzantine fault tolerance; Distributed computing; Cryptocurrency; Bounded function; Network packet; Robustness (evolution); Protocol (science); Consensus; Consensus algorithm; Latency (audio); Computer network; Database transaction; Throughput; Fault tolerance; Computer security; Algorithm; Wireless; Multi-agent system; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003366665,0.00005580594,0.0001873289,0.0001239889,0.0001520366,0.000018373,0.0002352177,0.00001176427,0.000008100641],"category_scores_gemma":[0.000007071393,0.00005186279,0.00006228485,0.0006373812,0.00001284179,0.0000162849,0.0001354697,0.00003714959,1.703159e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001231003,"about_ca_system_score_gemma":0.00002169362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000467689,"about_ca_topic_score_gemma":0.000005928026,"domain_scores_codex":[0.999317,0.00002149912,0.0001975184,0.0001965207,0.0001463667,0.0001211175],"domain_scores_gemma":[0.9995732,0.00004599459,0.000061995,0.0002257431,0.00006248857,0.00003057226],"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":[0.00001424383,0.00004310021,0.003451424,0.0000317444,0.0002393193,0.000001241908,0.0005649194,0.9703727,0.0004213011,0.0169399,0.0002620023,0.00765816],"study_design_scores_gemma":[0.0001502615,0.00005288842,0.0003888521,0.000001883822,0.00003977924,0.000003211688,0.0001234714,0.9987179,0.00005879143,0.00005182371,0.0003433978,0.00006770861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.685703,0.00008868019,0.313487,0.0001282465,0.0000522597,0.00008933276,0.00004685065,0.00002437955,0.0003802012],"genre_scores_gemma":[0.9924994,0.00000158757,0.00719708,0.0000578461,0.000005060238,0.0000323078,0.000004410969,0.00000213736,0.0002001905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3067963,"threshold_uncertainty_score":0.2114903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205309288448696,"score_gpt":0.2410899200856032,"score_spread":0.2205589912407336,"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."}}