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Updated: May 14, 2025

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Achieving High Efficiency and High Throughput in Erasure Code-Based Distributed Storage for Blockchain.

So-Hyun Park1, So-Yeon Kim1, So-Hui Kim1

  • 1Department of Future Convergence Technology Engineering, Sungshin Women's University, Seoul 02844, Republic of Korea.

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|April 12, 2025
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Summary
This summary is machine-generated.

This study introduces trigger-based automatic repeat request (ARQ) to improve blockchain storage efficiency. The new method enhances data transmission for erasure code (EC)-based systems, reducing overhead and ensuring stable data recovery.

Keywords:
automatic repeat requestblockchaindata recoverydistributed storageerasure codetriggerwireless sensor networks

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Area of Science:

  • Computer Science
  • Data Storage
  • Network Engineering

Background:

  • Blockchains face high storage overhead due to decentralized data replication, particularly in resource-limited environments like the Internet of Things (IoT).
  • Erasure code (EC) techniques mitigate storage inefficiency but require efficient data transmission for block recovery.
  • Existing research on optimizing data transmission for EC-based blockchain storage is limited.

Purpose of the Study:

  • To propose and evaluate a novel data transmission technique for EC-based distributed blockchain storage.
  • To address the challenges of data recovery overhead and ensure low latency and high throughput.
  • To enhance the overall efficiency and stability of blockchain storage systems.

Main Methods:

  • Development of a trigger-based automatic repeat request (ARQ) data transmission technique.
  • Integration of the ARQ scheme with erasure code (EC)-based distributed blockchain storage.
  • Performance evaluation focusing on data recovery stability, latency, throughput, and storage efficiency.

Main Results:

  • The trigger-based ARQ technique increased throughput efficiency by 8% while maintaining blockchain decentralization.
  • Storage efficiency for EC-based distributed blockchain storage was maximized to over 99.8%.
  • The proposed method effectively solved the recovery overhead problem associated with data transmission.

Conclusions:

  • The trigger-based ARQ scheme offers a viable solution for reducing storage overhead in EC-based distributed blockchain storage.
  • This technique enables stable data recovery with low latency and high throughput, even with frequent node failures.
  • Blockchains can overcome conventional distributed storage limitations, improving data accessibility and efficiency.