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A survey on blockchain sharding.

Xinmeng Liu1, Haomeng Xie1, Zheng Yan1

  • 1School of Cyber Engineering, Xidian University, Xi'an, China.

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Summary
This summary is machine-generated.

Blockchain sharding enhances scalability by enabling parallel transaction processing. This review analyzes current sharding schemes, proposing criteria for evaluating their effectiveness and identifying future research directions in decentralized systems.

Keywords:
BlockchainParallel processingScalabilitySharding

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Area of Science:

  • Computer Science
  • Information Technology
  • Decentralized Systems

Background:

  • Blockchain technology offers decentralized systems but faces scalability challenges.
  • Sharding is a key technology to improve blockchain scalability through parallel processing.
  • Existing research lacks a comprehensive review and evaluation of current sharding techniques.

Purpose of the Study:

  • To provide a thorough review of the state-of-the-art in blockchain sharding.
  • To propose evaluation criteria for scalability, applicability, and reliability of sharding schemes.
  • To classify and analyze existing sharding schemes based on blockchain type and techniques.

Main Methods:

  • Developing a framework with evaluation criteria for scalability, applicability, and reliability.
  • Classifying current sharding schemes based on blockchain architecture and sharding methodologies.
  • Analyzing the advantages and disadvantages of various sharding schemes against the proposed criteria.

Main Results:

  • A classification of cutting-edge sharding schemes is presented.
  • Comparative analysis of sharding schemes based on scalability, applicability, and reliability.
  • Identification of strengths and weaknesses within existing blockchain sharding solutions.

Conclusions:

  • The study provides a comprehensive overview and critical evaluation of blockchain sharding techniques.
  • Identified open issues and future research directions for advancing blockchain scalability.
  • Highlights the importance of robust evaluation criteria for sharding scheme development.