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FastDAG: A Low-Latency and Parallel Wave-Execution Consensus with a Double-Layer DAG

  • Yi Hua
  • , Xiulong Liu*
  • , Hao Xu
  • , Chenyu Zhang
  • , Licheng Wang
  • , Keqiu Li
  • *此作品的通讯作者
  • Tianjin University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

DAG-based Byzantine Fault Tolerant protocols have gained popularity due to their high throughput, but they often suffer from high latency caused by the serial wave-execution model. In this paper, we propose FastDAG, the first asynchronous DAG-based consensus protocol that adopts a parallel wave-execution model. FastDAG introduces a double-layer DAG structure to parallelize voting and a cross-referencing approach to link the two layers, significantly reducing latency. To address the challenges of inconsistency between the two layers, we design a Cross-Reference Fast commit approach that determines block commitment based on voting results from both layers. To address the challenge of Byzantine behavior of the leader, we design a planned-and-forced switching approach. Real-world experiment results on 46 cloud servers show that FastDAG outperforms existing protocols, achieving 22.5% lower latency than GradedDAG [1] and 35% lower than Tusk [2].

源语言英语
主期刊名Network and Parallel Computing - 21st IFIP WG 10.3 International Conference, NPC 2025, Proceedings
编辑Xiaoliang Wang, Baoliu Ye, Xiaohong Jiang, Noel Crespi
出版商Springer Science and Business Media Deutschland GmbH
88-100
页数13
ISBN(印刷版)9783032104656
DOI
出版状态已出版 - 2026
活动21st IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2025 - Nha Trang, 越南
期限: 14 11月 202516 11月 2025

出版系列

姓名Lecture Notes in Computer Science
16306 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议21st IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2025
国家/地区越南
Nha Trang
时期14/11/2516/11/25

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