{"title":"$\\mathsf{Aurora}$Aurora: Leaderless State-Machine Replication With High Throughput","authors":"Hao Lu;Jian Liu;Kui Ren","doi":"10.1109/TC.2025.3540656","DOIUrl":null,"url":null,"abstract":"State-machine replication (SMR) allows a deterministic state machine to be replicated across a set of replicas and handle clients’ requests as a single machine. Most existing SMR protocols are leader-based requiring a leader to order requests and coordinate the protocol. This design places a disproportionately high load on the leader, inevitably impairing the scalability. If the leader fails, a complex and bug-prone fail-over protocol is needed to switch to a new leader. An adversary can also exploit the fail-over protocol to slow down the protocol. <p>In this paper, we propose a crash-fault tolerant SMR named <inline-formula><tex-math>$\\mathsf{Aurora}$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>Aurora</mml:mi></mml:mrow></mml:math><inline-graphic></alternatives></inline-formula>, with the following properties: <list> <list-item> <label>•</label> <p>Leaderless: it does not require a leader, hence completely get rid of the fail-over protocol.</p></list-item> <list-item> <label>•</label> <p>Scalable: it can scale up to <inline-formula><tex-math>$11$</tex-math><alternatives><mml:math><mml:mn>11</mml:mn></mml:math><inline-graphic></alternatives></inline-formula> replicas.</p></list-item> <list-item> <label>•</label> <p>Robust: it behaves well even under a poor network connection.</p></list-item></list></p> <p>We provide a full-fledged implementation of <inline-formula><tex-math>$\\mathsf{Aurora}$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>Aurora</mml:mi></mml:mrow></mml:math><inline-graphic></alternatives></inline-formula> and systematically evaluate its performance. Our benchmark results show that <inline-formula><tex-math>$\\mathsf{Aurora}$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>Aurora</mml:mi></mml:mrow></mml:math><inline-graphic></alternatives></inline-formula> achieves a throughput of around two million Transactions Per Second (TPS), up to 8.7<inline-formula><tex-math>$\\boldsymbol{\\times}$</tex-math><alternatives><mml:math><mml:mo>×</mml:mo></mml:math><inline-graphic></alternatives></inline-formula> higher than the state-of-the-art leaderless SMR.</p>","PeriodicalId":13087,"journal":{"name":"IEEE Transactions on Computers","volume":"74 5","pages":"1690-1701"},"PeriodicalIF":3.6000,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Computers","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10880100/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
State-machine replication (SMR) allows a deterministic state machine to be replicated across a set of replicas and handle clients’ requests as a single machine. Most existing SMR protocols are leader-based requiring a leader to order requests and coordinate the protocol. This design places a disproportionately high load on the leader, inevitably impairing the scalability. If the leader fails, a complex and bug-prone fail-over protocol is needed to switch to a new leader. An adversary can also exploit the fail-over protocol to slow down the protocol.
In this paper, we propose a crash-fault tolerant SMR named $\mathsf{Aurora}$Aurora, with the following properties:
Leaderless: it does not require a leader, hence completely get rid of the fail-over protocol.
Scalable: it can scale up to $11$11 replicas.
Robust: it behaves well even under a poor network connection.
We provide a full-fledged implementation of $\mathsf{Aurora}$Aurora and systematically evaluate its performance. Our benchmark results show that $\mathsf{Aurora}$Aurora achieves a throughput of around two million Transactions Per Second (TPS), up to 8.7$\boldsymbol{\times}$× higher than the state-of-the-art leaderless SMR.
期刊介绍:
The IEEE Transactions on Computers is a monthly publication with a wide distribution to researchers, developers, technical managers, and educators in the computer field. It publishes papers on research in areas of current interest to the readers. These areas include, but are not limited to, the following: a) computer organizations and architectures; b) operating systems, software systems, and communication protocols; c) real-time systems and embedded systems; d) digital devices, computer components, and interconnection networks; e) specification, design, prototyping, and testing methods and tools; f) performance, fault tolerance, reliability, security, and testability; g) case studies and experimental and theoretical evaluations; and h) new and important applications and trends.