Issue |
ITM Web Conf.
Volume 73, 2025
International Workshop on Advanced Applications of Deep Learning in Image Processing (IWADI 2024)
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|
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Article Number | 03017 | |
Number of page(s) | 9 | |
Section | Blockchain, AI, and Technology Integration | |
DOI | https://doi.org/10.1051/itmconf/20257303017 | |
Published online | 17 February 2025 |
Enhancing Fault Tolerance in Distributed Storage Systems through an Extended EVENODD Code
1 College of International, Beijing University of Posts and Telecommunications, Beijing, 100876, China
2 College of Electrical Engineering, Jilin Engineering Normal University, Changchun, 130052, China
3 School of Accounting & Finance, Xiamen University Tan Kah Kee College, Xiamen, 363123, China
* Corresponding author: lukejian@bupt.edu.cn
With the rapid development of technology, we have entered the era of big data. Therefore, the safe and effective handling of abundant amounts of data is essential. This paper analyzes and lists some commonly used data storage systems and encoding techniques and elaborates on the encoding and decoding process of one of them, namely EVENODD Code, which is widely used in distributed storage systems. At the same time, this article briefly discusses the possibility of improving the EVENODD Code. The original traditional EVENODD Code encoding can recover data with up to two block failures, but the computation process is more complex than that of multi-replica technology. As a result, it is less computationally efficient than multi-replica technology. The text briefly mentions the potential for enhancing the efficiency of data operations with the EVENODD Code, which could make it the optimal choice for large-scale, highly reliable applications such as cloud storage and media streaming systems.
© 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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