In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
See More
Technology of Blockchain
|
App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 5
1314-1320

Double layer consensus algorithm based on improved Raft consensus algorithm and PBFT

Yuan Haotian
Li Fei
College of Blockchain Industry, Chengdu University of Information Technology, Chengdu 610000, China
DOI: 10.19734/j.issn.1001-3695.2023.08.0390

Abstract

This paper proposed a dual-layer consensus algorithm(DL_RBFT) based on the enhanced Raft and practical Byzantine fault tolerance(PBFT) consensus algorithms to address scalability issues, excessive communication overhead, and challenges in large-scale network node environments in use within consortium blockchains. Initially, it divided blockchain nodes into several groups to form a lower-layer consensus network. Then, leaders from these groups constituted an upper-layer consensus network, creating a dual-layer consensus structure. In the lower-layer consensus network, it improved Raft consensus algorithm by introducing supervision and reputation mechanisms, while the leader election process introduced ant colony optimization to maintain high efficiency. In the upper-layer consensus network, it utilized the PBFT consensus algorithm for consensus. The enhanced Raft consensus algorithm exhibited resistance to Byzantine node attacks, enhancing the algorithm's security. Experimental results indicate that compared to traditional PBFT consensus algorithms, DL_RBFT reduces consensus latency by two orders of magnitude and improves throughput by one order of magnitude in a 100-node scenario. In comparison to other enhanced algorithms, DL_RBFT demonstrates significant advantages. Therefore, DL_RBFT consensus algorithm exhibits strong scalability and can be widely applied in various consortium blockchain scenarios.

Foundation Support

四川省国际科技创新合作/港澳台科技创新合作项目(2021YFH0076)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.08.0390
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 5
Section: Technology of Blockchain
Pages: 1314-1320
Serial Number: 1001-3695(2024)05-005-1314-07

Publish History

[2023-12-08] Accepted Paper
[2024-05-05] Printed Article

Cite This Article

袁昊天, 李飞. 基于改进Raft共识算法和PBFT共识算法的双层共识算法 [J]. 计算机应用研究, 2024, 41 (5): 1314-1320. (Yuan Haotian, Li Fei. Double layer consensus algorithm based on improved Raft consensus algorithm and PBFT [J]. Application Research of Computers, 2024, 41 (5): 1314-1320. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)