Leopard: Towards High Throughput-Preserving BFT for Large-scale Systems

Kexin Hu, Kaiwen Guo, Qiang Tang, Zhenfeng Zhang, Hao Cheng, Zhiyang Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

With the emergence of large-scale decentralized applications, a scalable and efficient Byzantine Fault Tolerant (BFT) protocol of hundreds of replicas is desirable. Although the throughput of existing leader-based BFT protocols has reached a high level of 105 requests per second for a small scale of replicas, it drops significantly when the scale increases.This paper focuses on preserving high throughput as the BFT protocol's scale is increasing. We identify and analyze a major bottleneck to leader-based BFT protocols due to the excessive workload of the leader at large scales. A new metric of scaling factor is defined to capture whether a BFT protocol will get stuck when the scale gets larger, which can be used to measure the performance of throughput and scalability of BFT protocols. We propose "Leopard", the first leader-based BFT protocol that scales to multiple hundreds of replicas, and more importantly, preserves high throughput. We remove the bottleneck by introducing a technique of achieving the ideal constant scaling factor, which takes full advantage of the idle resource and balances the workload of the leader among all replicas. We implemented Leopard and evaluated its performance compared to HotStuff, a state-of-the-art leader-based BFT protocol. We ran extensive experiments with up to 600 replicas. The results show that Leopard achieves significant throughput improvements. In particular, the throughput of Leopard remains at a high level of 105 when the scale is 600. It achieves a 5× throughput over HotStuff when the scale is 300, and the gap becomes wider as the scale further increases.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 IEEE 42nd International Conference on Distributed Computing Systems, ICDCS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages157-167
Number of pages11
ISBN (Electronic)9781665471770
DOIs
StatePublished - 2022
Externally publishedYes
Event42nd IEEE International Conference on Distributed Computing Systems, ICDCS 2022 - Bologna, Italy
Duration: Jul 10 2022Jul 13 2022

Publication series

NameProceedings - International Conference on Distributed Computing Systems
Volume2022-July

Conference

Conference42nd IEEE International Conference on Distributed Computing Systems, ICDCS 2022
Country/TerritoryItaly
CityBologna
Period7/10/227/13/22

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Keywords

  • BFT
  • high throughput
  • partially synchronous
  • scalability

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