Consensus in Lens of Consortium Blockchain: An Empirical Study

Hao Yin, Yihang Wei, Yuwen Li, Liehuang Zhu*, Jiakang Shi, Keke Gai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Blockchain emerges as a public decentralized ledger system in recent years. Compared to the traditional distributed database, the blockchain realizes trustless property over the distributed network but consumes more computing resources and processing time. In blockchain, the consensus algorithm is the key component that guarantees such a significant property. To reach better performance, people adjust the network assumptions and classifies the blockchain into three types of the public, consortium, and private. Since consortium blockchain is prevalent studied and more practical, in this paper we investigate various representative consensus in the lens of consortium blockchain. By comparative analyzing those consensus algorithms, we find that deterministic consensus can speed up the transaction process in consortium blockchain. The related experiments are also conducted to understand what mainly causes the consensus delay. The results show that communication complexity seriously influences the algorithm performance. From this empirical study, we suggest that the message transmission path can be an optimized method to make research in future work.

Original languageEnglish
Title of host publicationAlgorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings
EditorsMeikang Qiu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages282-296
Number of pages15
ISBN (Print)9783030602475
DOIs
Publication statusPublished - 2020
Event20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020 - New York, United States
Duration: 2 Oct 20204 Oct 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12454 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020
Country/TerritoryUnited States
CityNew York
Period2/10/204/10/20

Keywords

  • Byzantine fault tolerance
  • Consensus algorithm
  • Consortium blockchain
  • Empirical study
  • Performance

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