Advancing Data Resilience: An In-Depth Study of Pyramid Codes for Fault Tolerance and Repair Cost Optimization
In the digital era, distributed storage systems are essential for managing vast volumes of data generated by cloud computing, big data, and the Internet of Things. These systems face challenges such as scalability, fault tolerance, and cost control. Pyramid Codes have emerged as an effective solutio...
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EDP Sciences
2025-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/04/itmconf_iwadi2024_03020.pdf |
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| author | Chen Yanqiu |
| author_facet | Chen Yanqiu |
| author_sort | Chen Yanqiu |
| collection | DOAJ |
| description | In the digital era, distributed storage systems are essential for managing vast volumes of data generated by cloud computing, big data, and the Internet of Things. These systems face challenges such as scalability, fault tolerance, and cost control. Pyramid Codes have emerged as an effective solution, enhancing fault tolerance and reducing repair costs. This paper presents a thorough analysis of Pyramid Codes, examining their structure, performance, and advantages over traditional Reed-Solomon Codes. The study delves into fault tolerance mechanisms, demonstrating Pyramid Codes’ ability to handle single, double, and triple disk failures efficiently. Additionally, strategies are proposed for optimizing reliability, such as increasing parity length and creating additional parity layers, which enhance repair capabilities without substantially increasing costs. The potential applications of Pyramid Codes in scenarios requiring high fault tolerance and low repair costs are discussed, emphasizing their role in advancing distributed storage resilience. Future directions include exploring adaptive frameworks for real-time data repair and optimizing parity distribution to balance security and cost-efficiency, paving the way for robust and efficient storage solutions in distributed systems. |
| format | Article |
| id | doaj-art-ed8b43c3d04a4349a70ab85a0dfd1a38 |
| institution | DOAJ |
| issn | 2271-2097 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj-art-ed8b43c3d04a4349a70ab85a0dfd1a382025-08-20T03:02:18ZengEDP SciencesITM Web of Conferences2271-20972025-01-01730302010.1051/itmconf/20257303020itmconf_iwadi2024_03020Advancing Data Resilience: An In-Depth Study of Pyramid Codes for Fault Tolerance and Repair Cost OptimizationChen Yanqiu0School of Science, Shandong Jiaotong UniversityIn the digital era, distributed storage systems are essential for managing vast volumes of data generated by cloud computing, big data, and the Internet of Things. These systems face challenges such as scalability, fault tolerance, and cost control. Pyramid Codes have emerged as an effective solution, enhancing fault tolerance and reducing repair costs. This paper presents a thorough analysis of Pyramid Codes, examining their structure, performance, and advantages over traditional Reed-Solomon Codes. The study delves into fault tolerance mechanisms, demonstrating Pyramid Codes’ ability to handle single, double, and triple disk failures efficiently. Additionally, strategies are proposed for optimizing reliability, such as increasing parity length and creating additional parity layers, which enhance repair capabilities without substantially increasing costs. The potential applications of Pyramid Codes in scenarios requiring high fault tolerance and low repair costs are discussed, emphasizing their role in advancing distributed storage resilience. Future directions include exploring adaptive frameworks for real-time data repair and optimizing parity distribution to balance security and cost-efficiency, paving the way for robust and efficient storage solutions in distributed systems.https://www.itm-conferences.org/articles/itmconf/pdf/2025/04/itmconf_iwadi2024_03020.pdf |
| spellingShingle | Chen Yanqiu Advancing Data Resilience: An In-Depth Study of Pyramid Codes for Fault Tolerance and Repair Cost Optimization ITM Web of Conferences |
| title | Advancing Data Resilience: An In-Depth Study of Pyramid Codes for Fault Tolerance and Repair Cost Optimization |
| title_full | Advancing Data Resilience: An In-Depth Study of Pyramid Codes for Fault Tolerance and Repair Cost Optimization |
| title_fullStr | Advancing Data Resilience: An In-Depth Study of Pyramid Codes for Fault Tolerance and Repair Cost Optimization |
| title_full_unstemmed | Advancing Data Resilience: An In-Depth Study of Pyramid Codes for Fault Tolerance and Repair Cost Optimization |
| title_short | Advancing Data Resilience: An In-Depth Study of Pyramid Codes for Fault Tolerance and Repair Cost Optimization |
| title_sort | advancing data resilience an in depth study of pyramid codes for fault tolerance and repair cost optimization |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2025/04/itmconf_iwadi2024_03020.pdf |
| work_keys_str_mv | AT chenyanqiu advancingdataresilienceanindepthstudyofpyramidcodesforfaulttoleranceandrepaircostoptimization |