EVENODD Coding, Fault Tolerance Optimization, Data Storage Security
Abstract
In today’s data-driven era, the reliability and security of data storage have attracted much attention. The rapid development of big data, cloud computing and Internet of Things technology has put forward higher requirements for the fault tolerance of data storage. Especially in critical areas such as finance and healthcare, where data integrity and recoverability are critical, data loss or corruption can have catastrophic consequences.Although traditional RAID technology improves data redundancy, its scalability, cost effectiveness and fault tolerance efficiency are limited in the face of big data challenges. Especially in large-scale data centers, RAID is difficult to balance high performance with high fault tolerance.EVENODD coding , as a new fault-tolerant technology, improves recovery efficiency through double parity check. However, the computational complexity of the second parity column (Parity2) is high, which affects the coding efficiency and resource utilization.This research focuses on optimizing the computational method of Parity2 in EVENODD encoding, aiming at improving fault tolerance and reducing complexity, providing technical support for building efficient and reliable data storage system, and ensuring data security and integrity.
