Definition ∞ Sub-tree chunking is a data management technique that divides a large Merkle tree or similar hierarchical data structure into smaller, manageable segments or “chunks.” Each chunk can then be processed, stored, or transmitted independently, often with its own Merkle root. This method improves efficiency by allowing partial updates and reducing the amount of data required for verification. It optimizes resource usage in distributed systems.
Context ∞ Sub-tree chunking is a valuable optimization strategy for scaling blockchain networks and improving the performance of decentralized storage solutions. By breaking down large state trees into smaller, verifiable units, it facilitates faster data retrieval and more efficient proof generation, particularly for layer-2 solutions like rollups. This technique is critical for reducing the computational burden on nodes and enhancing the overall scalability of blockchain infrastructure.
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