Nezha

Author:

Geng Jinkun1,Sivaraman Anirudh2,Prabhakar Balaji1,Rosenblum Mendel1

Affiliation:

1. Stanford University

2. New York University

Abstract

This paper presents a high-performance consensus protocol, Nezha, which can be deployed by cloud tenants without support from cloud providers. Nezha bridges the gap between protocols such as Multi-Paxos and Raft, which can be readily deployed, and protocols such as NOPaxos and Speculative Paxos, that provide better performance, but require access to technologies such as programmable switches and in-network prioritization, which cloud tenants do not have. Nezha uses a new multicast primitive called deadline-ordered multicast (DOM). DOM uses high-accuracy software clock synchronization to synchronize sender and receiver clocks. Senders tag messages with deadlines in synchronized time; receivers process messages in deadline order, on or after their deadline. We compare Nezha with Multi-Paxos, Fast Paxos, Raft, (optimized) NOPaxos, and 2 recent protocols, Domino and TOQ-EPaxos, that use synchronized clocks. In throughput, Nezha outperforms all baselines by a median of 5.4X (range: 1.9--20.9X). In latency, Nezha outperforms five baselines by a median of 2.3X (range: 1.3--4.0X), with one exception: it sacrifices 33% of latency compared with our optimized NOPaxos in one test. We also prototype two applications, a key-value store and a fair-access stock exchange, on top of Nezha to show that Nezha only modestly reduces their performance relative to an unreplicated system.

Publisher

Association for Computing Machinery (ACM)

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Reference51 articles.

1. Marcos K. Aguilera , Naama Ben-David , Rachid Guerraoui , Virendra J. Marathe , Athanasios Xygkis , and Igor Zablotchi . 2020 . Microsecond Consensus for Microsecond Applications . In Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20) . USENIX Association, 599--616. https://www.usenix.org/conference/osdi20/presentation/aguilera Marcos K. Aguilera, Naama Ben-David, Rachid Guerraoui, Virendra J. Marathe, Athanasios Xygkis, and Igor Zablotchi. 2020. Microsecond Consensus for Microsecond Applications. In Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20). USENIX Association, 599--616. https://www.usenix.org/conference/osdi20/presentation/aguilera

2. Dissecting the Performance of Strongly-Consistent Replication Protocols

3. S-Paxos: Offloading the Leader for High Throughput State Machine Replication

4. The weakest failure detector for solving consensus

5. PigPaxos: Devouring the Communication Bottlenecks in Distributed Consensus

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