Dumbo: Faster Asynchronous BFT Protocols
Bingyong Guo, Zhenliang Lu, Qiang Tang, Jing Xu, Zhenfeng Zhang
Abstract
HoneyBadgerBFT, proposed by Miller et al. [34] as the first practical asynchronous atomic broadcast protocol, demonstrated impressive performance. The core of HoneyBadgerBFT (HB-BFT) is to achieve batching consensus using asynchronous common subset protocol (ACS) of Ben-Or et al., constituted with n reliable broadcast protocol (RBC) to have each node propose its input, followed by n asynchronous binary agreement protocol (ABA) to make a decision for each proposed value (n is the total number of nodes). In this paper, we propose two new atomic broadcast protocols (called Dumbo1, Dumbo2) both of which have asymptotically and practically better efficiency. In particular, the ACS of Dumbo1 only runs a small κ (independent of n) instances of ABA, while that of Dumbo2 further reduces it to constant! At the core of our techniques are two major observations: (1) reducing the number of ABA instances significantly improves efficiency; and (2) using multi-valued validated Byzantine agreement (MVBA) which was considered sub-optimal for ACS in [34] in a more careful way could actually lead to a much more efficient ACS. We implement both Dumbo1, Dumbo2 and deploy them as well as HB-BFT on 100 Amazon EC2 t2.medium instances uniformly distributed throughout 10 different regions across the globe, and run extensive experiments in the same environments. The experimental results show that our protocols achieve multi-fold improvements over HoneyBadgerBFT on both latency and throughput, especially when the system scale becomes moderately large.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 04733695-d521-4ebc-95a2-1bf160e9865eCited by top-tier papers40
- Narwhal and Tusk: a DAG-based mempool and efficient BFT consensusGeorge Danezis, Lefteris Kokoris-Kogias, Alberto Sonnino, Alexander SpiegelmanEuroSys 2022 · 259 citations
- Red Belly: A Secure, Fair and Scalable Open BlockchainTyler Crain, Christopher Natoli, Vincent GramoliS&P 2021 · 148 citations
- Practical Asynchronous Distributed Key GenerationSourav Das, Thomas Yurek, Zhuolun Xiang, Andrew Miller et al.S&P 2022 · 136 citations
- Bullshark: DAG BFT Protocols Made PracticalAlexander Spiegelman, Neil Giridharan, Alberto Sonnino, Lefteris Kokoris-KogiasCCS 2022 · 132 citations
- Dumbo-NG: Fast Asynchronous BFT Consensus with Throughput-Oblivious LatencyYingzi Gao, Yuan Lu, Zhenliang Lu, Qiang Tang et al.CCS 2022 · 72 citations
Builds on3
- The Honey Badger of BFT ProtocolsAndrew Miller, Yu Xia, Kyle Croman, Elaine Shi et al.CCS 2016 · 974 citations
- BEAT: Asynchronous BFT Made PracticalSisi Duan, Michael K. Reiter, Haibin ZhangCCS 2018 · 255 citations
- Flexible Byzantine Fault ToleranceDahlia Malkhi, Kartik Nayak, Ling RenCCS 2019 · 122 citations
Related papers
- Speeding Dumbo: Pushing Asynchronous BFT Closer to PracticeBingyong Guo, Yuan Lu, Zhenliang Lu, Qiang Tang et al.NDSS 2022
- Bolt-Dumbo Transformer: Asynchronous Consensus As Fast As the Pipelined BFTYuan Lu, Zhenliang Lu, Qiang TangCCS 2022 · 49 citations
- Falcon: Advancing Asynchronous BFT Consensus for Lower Latency and Enhanced ThroughputXiaohai Dai, Chaozheng Ding, Wei Li, Jiang Xiao et al.VLDB 2025
- DispersedLedger: High-Throughput Byzantine Consensus on Variable Bandwidth NetworksLei Yang, Seo Jin Park, Mohammad Alizadeh, Sreeram Kannan et al.NSDI 2022 · 120 citations
- Signature-Free Atomic Broadcast with Optimal Messages and Expected TimeXiao Sui, Xin Wang, Sisi DuanS&P 2025
