Abstract:This study proposed a dynamic storage of seismic information network data to improve the storage efficiency and stability of seismic information network data. First, the hardware part of the dynamic storage system of seismic information network data was designed and analyzed. Then, a dynamic storage system of a distributed big data cluster based on Hadoop was constructed. In this system, multiple storage servers were integrated into a cluster system, and the load of storage servers was balanced to obtain the proportion of performance indicators and comprehensive performance parameters through the weighted formula. Comparative experiments were performed on the proposed system, the high-speed data storage system, and the network coding cloud storage system. Experimental results showed that the dynamic storage system of the seismic information network data had the shortest time and the fastest storage efficiency. The storage stability was high, and no overload problem was detected.