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 | 03027 | |
Number of page(s) | 8 | |
Section | Blockchain, AI, and Technology Integration | |
DOI | https://doi.org/10.1051/itmconf/20257303027 | |
Published online | 17 February 2025 |
Enhanced EVENODD Encoding Techniques: Innovations for Improved Data Resilience
Faculty of Engineering, The University of New South Wales, 1466/2025, Sydney, Australia
* Corresponding author: z5524857@ad.unsw.edu.au
The scale and complexity of modern storage systems necessitate robust data protection mechanisms, where EVENODD coding algorithms play a critical role. Despite its widespread application, traditional EVENODD algorithms exhibit limitations that demand advanced solutions for today’s data storage challenges. This paper introduces an innovative approach to the encoding and decoding processes of EVENODD code, highlighting significant enhancements that offer better protection and operational efficiency. The study explores new methods that reduce computational complexity and accelerate data recovery processes, ensuring superior data integrity and system reliability. The enhancements are vital for large-scale storage systems where high data availability and rapid recovery are paramount. The analysis also delves into the practical implementations and potential challenges of these novel methods, proposing strategic solutions to integrate them effectively in existing systems. This research aims to set a foundational framework for future studies and practical applications in data storage and protection technology, pushing the boundaries of current data resilience capabilities.
© 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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