Narwhal and Tusk: A DAG-based mempool and efficient BFT consensus

Danezis G, Kokoris Kogias E, Sonnino A, Spiegelman A. 2022. Narwhal and Tusk: A DAG-based mempool and efficient BFT consensus. Proceedings of the 17th European Conference on Computer Systems. EuroSys: European Conference on Computer Systems, 34–50.


Conference Paper | Published | English

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Author
Danezis, George; Kokoris Kogias, LefterisISTA; Sonnino, Alberto; Spiegelman, Alexander
Department
Abstract
We propose separating the task of reliable transaction dissemination from transaction ordering, to enable high-performance Byzantine fault-tolerant quorum-based consensus. We design and evaluate a mempool protocol, Narwhal, specializing in high-throughput reliable dissemination and storage of causal histories of transactions. Narwhal tolerates an asynchronous network and maintains high performance despite failures. Narwhal is designed to easily scale-out using multiple workers at each validator, and we demonstrate that there is no foreseeable limit to the throughput we can achieve. Composing Narwhal with a partially synchronous consensus protocol (Narwhal-HotStuff) yields significantly better throughput even in the presence of faults or intermittent loss of liveness due to asynchrony. However, loss of liveness can result in higher latency. To achieve overall good performance when faults occur we design Tusk, a zero-message overhead asynchronous consensus protocol, to work with Narwhal. We demonstrate its high performance under a variety of configurations and faults. As a summary of results, on a WAN, Narwhal-Hotstuff achieves over 130,000 tx/sec at less than 2-sec latency compared with 1,800 tx/sec at 1-sec latency for Hotstuff. Additional workers increase throughput linearly to 600,000 tx/sec without any latency increase. Tusk achieves 160,000 tx/sec with about 3 seconds latency. Under faults, both protocols maintain high throughput, but Narwhal-HotStuff suffers from increased latency.
Publishing Year
Date Published
2022-03-28
Proceedings Title
Proceedings of the 17th European Conference on Computer Systems
Page
34-50
Conference
EuroSys: European Conference on Computer Systems
Conference Location
Rennes, France
Conference Date
2022-04-05 – 2022-04-08
IST-REx-ID

Cite this

Danezis G, Kokoris Kogias E, Sonnino A, Spiegelman A. Narwhal and Tusk: A DAG-based mempool and efficient BFT consensus. In: Proceedings of the 17th European Conference on Computer Systems. Association for Computing Machinery; 2022:34-50. doi:10.1145/3492321.3519594
Danezis, G., Kokoris Kogias, E., Sonnino, A., & Spiegelman, A. (2022). Narwhal and Tusk: A DAG-based mempool and efficient BFT consensus. In Proceedings of the 17th European Conference on Computer Systems (pp. 34–50). Rennes, France: Association for Computing Machinery. https://doi.org/10.1145/3492321.3519594
Danezis, George, Eleftherios Kokoris Kogias, Alberto Sonnino, and Alexander Spiegelman. “Narwhal and Tusk: A DAG-Based Mempool and Efficient BFT Consensus.” In Proceedings of the 17th European Conference on Computer Systems, 34–50. Association for Computing Machinery, 2022. https://doi.org/10.1145/3492321.3519594.
G. Danezis, E. Kokoris Kogias, A. Sonnino, and A. Spiegelman, “Narwhal and Tusk: A DAG-based mempool and efficient BFT consensus,” in Proceedings of the 17th European Conference on Computer Systems, Rennes, France, 2022, pp. 34–50.
Danezis G, Kokoris Kogias E, Sonnino A, Spiegelman A. 2022. Narwhal and Tusk: A DAG-based mempool and efficient BFT consensus. Proceedings of the 17th European Conference on Computer Systems. EuroSys: European Conference on Computer Systems, 34–50.
Danezis, George, et al. “Narwhal and Tusk: A DAG-Based Mempool and Efficient BFT Consensus.” Proceedings of the 17th European Conference on Computer Systems, Association for Computing Machinery, 2022, pp. 34–50, doi:10.1145/3492321.3519594.
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