Issue |
ITM Web Conf.
Volume 73, 2025
International Workshop on Advanced Applications of Deep Learning in Image Processing (IWADI 2024)
|
|
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Article Number | 03025 | |
Number of page(s) | 7 | |
Section | Blockchain, AI, and Technology Integration | |
DOI | https://doi.org/10.1051/itmconf/20257303025 | |
Published online | 17 February 2025 |
Optimizing Data Integrity and Efficiency: Advances and Applications of Pyramid Coding
School of Information Engineering, East China University of Technology, Nanchang City, Jiangxi Province, 330013, China
* Corresponding author: 2022212085@ecut.edu.cn
The rapid expansion of data in the digital era poses significant challenges in maintaining data integrity and optimizing transmission efficiency. Pyramid codes, an advanced data encoding technique, leverage a multi-level structure to enhance storage efficiency and facilitate efficient data handling. This paper explores pyramid codes as a dynamic solution for data redundancy, detailing their encoding and decoding principles, repair functions, and applications across various sectors including wireless communication, medical imaging, and big data management. Unlike traditional erasure codes, pyramid codes offer superior fault tolerance and recovery capabilities through a hierarchical design that supports minimal overhead in recovering from multiple data failures. The methodology improves upon Reed Solomon codes by offering higher data storage efficiency and the ability to recover after extensive data loss. Additionally, the potential applications of pyramid codes in cloud computing and distributed environments are examined, showcasing their adaptability to complex storage systems and fluctuating data loss scenarios. This study aims to illuminate the role of pyramid codes in advancing data storage and transmission technologies, thus contributing to more robust and efficient data management practices.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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