The approach detailed in this article focuses on optimizing trees in blockchain technology to address scalability issues, demonstrating enhanced performance through the use of adaptive Merkle trees.
The adaptive Merkle tree restructuring algorithm provides a significant improvement over traditional methods, particularly in terms of efficiency and resource management in blockchain systems.
Our analysis reveals that by employing adaptive restructuring, we can enhance the path encoding in trees, which is critical for maintaining performance under increasing blockchain loads.
Comparative analysis with existing solutions highlights the importance of adaptive trees in blockchain scalability, showcasing their potential to significantly outperform traditional hierarchical structures.
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