Open Access iconOpen Access

ARTICLE

crossmark

An Encode-and CRT-Based Scalability Scheme for Optimizing Transmission in Blockchain

Qianqi Sun, Fenhua Bai*

Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, China

* Corresponding Author: Fenhua Bai. Email: email

(This article belongs to this Special Issue: The Bottleneck of Blockchain Techniques: Scalability, Security and Privacy Protection)

Computer Modeling in Engineering & Sciences 2024, 139(2), 1733-1754. https://doi.org/10.32604/cmes.2023.044558

Abstract

Blockchain technology has witnessed a burgeoning integration into diverse realms of economic and societal development. Nevertheless, scalability challenges, characterized by diminished broadcast efficiency, heightened communication overhead, and escalated storage costs, have significantly constrained the broad-scale application of blockchain. This paper introduces a novel Encode-and CRT-based Scalability Scheme (ECSS), meticulously refined to enhance both block broadcasting and storage. Primarily, ECSS categorizes nodes into distinct domains, thereby reducing the network diameter and augmenting transmission efficiency. Secondly, ECSS streamlines block transmission through a compact block protocol and robust RS coding, which not only reduces the size of broadcasted blocks but also ensures transmission reliability. Finally, ECSS utilizes the Chinese remainder theorem, designating the block body as the compression target and mapping it to multiple modules to achieve efficient storage, thereby alleviating the storage burdens on nodes. To evaluate ECSS’s performance, we established an experimental platform and conducted comprehensive assessments. Empirical results demonstrate that ECSS attains superior network scalability and stability, reducing communication overhead by an impressive 72% and total storage costs by a substantial 63.6%.

Keywords


Cite This Article

Sun, Q., Bai, F. (2024). An Encode-and CRT-Based Scalability Scheme for Optimizing Transmission in Blockchain. CMES-Computer Modeling in Engineering & Sciences, 139(2), 1733–1754.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 161

    View

  • 73

    Download

  • 1

    Like

Share Link