Sui Lutris: A Blockchain Combining Broadcast and Consensus
Abstract
Sui Lutris is the first smart-contract platform to sustainably achieve sub-second finality. It achieves this significant decrease by employing consensusless agreement not only for simple payments but for a large variety of transactions. Unlike prior work, Sui Lutris neither compromises expressiveness nor throughput and can run perpetually without restarts. Sui Lutris achieves this by safely integrating consensuless agreement with a high-throughput consensus protocol that is invoked out of the critical finality path but ensures that when a transaction is at risk of inconsistent concurrent accesses, its settlement is delayed until the total ordering is resolved. Building such a hybrid architecture is especially delicate during reconfiguration events, where the system needs to preserve the safety of the consensusless path without compromising the long-term liveness of potentially misconfigured clients. We thus develop a novel reconfiguration protocol, the first to provably show the safe and efficient reconfiguration of a consensusless blockchain. Sui Lutris is currently running in production and underpins the Sui smart-contract platform. Combined with the use of Objects instead of accounts it enables the safe execution of smart contracts that expose objects as a first-class resource. In our experiments Sui Lutris achieves latency lower than 0.5 seconds for throughput up to 5,000 certificates per second (150k ops/s with transaction blocks), compared to the state-of-the-art real-world consensus latencies of 3 seconds. Furthermore, it gracefully handles validators crash-recovery and does not suffer visible performance degradation during reconfiguration.
Keywords
Cite
@article{arxiv.2310.18042,
title = {Sui Lutris: A Blockchain Combining Broadcast and Consensus},
author = {Sam Blackshear and Andrey Chursin and George Danezis and Anastasios Kichidis and Lefteris Kokoris-Kogias and Xun Li and Mark Logan and Ashok Menon and Todd Nowacki and Alberto Sonnino and Brandon Williams and Lu Zhang},
journal= {arXiv preprint arXiv:2310.18042},
year = {2024}
}