Better Memory-Speed Balance For LSM Trees Found

The academic study titled Dostoevsky focuses on increasing the efficiency of LSM-Tree (Log-Structured Merge-Tree) data structure, widely used in key-value storage. This research suggests new strategies to improve ongoing balance between memory usage and query speed.

• LSM-Tree structure: The basic technology used in popular databases such as rocksDB and LevelDB, optimized for quick writing operations -Uzay-time balance: Research develops methods that protect query performance while reducing storage cost -Pratic applications: Results can improve welding efficiency in large-scale data processing systems
• Academic additive: New optimization algorithms offer theoretical foundations that affect the industrial database design

The research uses mathematical models and experimental validation to solve this balance problem, critical in data intensive applications. Results are expected to have positive impact on cloud infrastructures and large data platforms.

The article is an important technical reference for database system designers and infrastructure engineers.