This invention describes a method for managing a blockchain by dynamically adjusting the size of new data blocks. When new tasks are ready to be added, the system monitors how busy the data storage is and the available network capacity. If both are high, the system increases the size of the next block, allowing more items to be processed together, which helps the blockchain adapt to varying network conditions for better efficiency.
Why it matters: The claims describe a rule-based system for dynamic block sizing, but the classification points to machine learning. Since 2021, advancements in MLOps and real-time AI optimization have made it significantly easier to implement and deploy adaptive systems that could learn and refine such blockchain parameters autonomously.
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