In distributed storage systems,adaptive data access demands present new challenges to data reliability and avail-ability.This paper focuses on erasure coding technology,aiming to optimize data storage and access efficiency.We first analyze the impact of different data access patterns on erasure coding performance,and then propose an adaptive erasure coding strategy based on access frequency and data importance.Experimental results show that this strategy significantly improves data retrieval speed while reducing storage costs,providing new insights for the design of distributed storage systems.Finally,we discuss the potential value of this method in practical applications and its future development directions.
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