Sharpedo：双模式无证书基于有向无环图的共识协议
Sharpedo: Dual-Mode Uncertified DAG-Based Consensus Protocol
浏览论文内容
中文总结 AI 辅助
Sharpedo是首个双模式无证书DAG共识协议，结合部分同步的高性能与异步的进展保证，并引入动态调度机制提升效率。
中文摘要 AI 辅助
Mysticeti和Mahi-Mahi代表了共识协议领域的领先方法，它们利用一种新颖的无证书有向无环图数据结构，与先前工作相比实现了显著的性能优势。Mysticeti和Mahi-Mahi在底层网络假设上有所不同，前者对通信的时间界限做出假设，而后者则不做出此类假设。Mysticeti以牺牲鲁棒性为代价，在理想条件下实现更低的延迟，而Mahi-Mahi则倾向于增加延迟，以确保在异步设置中更强的进展保证。尽管存在双模式协议（即能够适应不同网络假设的协议），但尚未有协议被实现以充分利用上述协议中所见的新颖数据结构。因此，我们的研究项目旨在追踪共识协议的演进过程，分析它们如何应对网络假设约束，并探索双模式协议。随后，我们提出了Sharpedo，这是首个双模式无证书有向无环图共识协议，旨在实现两全其美：既具备部分同步协议的高性能，又能在异步设置中提供进展保证。此外，Sharpedo集成了新颖的动态调度机制，从而提高了系统效率并优化了性能。
英文摘要
Mysticeti and Mahi-Mahi represent leading approaches to consensus protocols, leveraging a novel uncertified Directed Acyclic Graph data structure to achieve substantial performance benefits compared to prior work. Mysticeti and Mahi-Mahi differ in their underlying network assumptions, where the former makes assumptions about timing bounds for communication while the latter does not. Mysticeti trades robustness for lower levels of latency in ideal conditions, whereas Mahi-Mahi favours increased latency in order to ensure stronger progress guarantees in asynchronous settings. Although dual-mode protocols exist (i.e., protocols that can adapt do different network assumptions), none have been implemented to take full advantage of the novel data structure seen in the aforementioned protocols. Thus, our research project aims to trace the progression of consensus protocols, analyse how they address network assumptions constraints, and explore dual-mode protocols. Then, we present Sharpedo, the first dual-mode uncertified Directed Acyclic Graph consensus protocols which aims to achieve the best of both worlds: the high-performance of partially-synchronous protocols, while providing guarantees of progress even in asynchronous settings. Furthermore, Sharpedo integrates a novel dynamic scheduling mechanism resulting in improved system efficiency and performance optimization.
