Description:
Through analyzing the process of fetching Aleo addresses, I’ve observed that the current approach could be optimized to handle high-demand scenarios more efficiently. In environments where many addresses need to be retrieved simultaneously, the performance can degrade due to repetitive calls.
Proposed Improvements:
Introduce Address Caching: Implement a system where frequently requested addresses are stored in a temporary cache. This would minimize the need to repeatedly fetch the same addresses and significantly decrease latency in high-frequency scenarios.
Enable Batch Retrieval: Instead of sending multiple individual requests for addresses, implementing batch fetching would streamline the process, reducing the load on the system and enhancing overall performance when retrieving multiple addresses at once.
By applying these optimizations, the overall responsiveness of applications depending on address lookups would improve, particularly in scenarios requiring multiple concurrent requests.
Description: Through analyzing the process of fetching Aleo addresses, I’ve observed that the current approach could be optimized to handle high-demand scenarios more efficiently. In environments where many addresses need to be retrieved simultaneously, the performance can degrade due to repetitive calls.
Proposed Improvements: Introduce Address Caching: Implement a system where frequently requested addresses are stored in a temporary cache. This would minimize the need to repeatedly fetch the same addresses and significantly decrease latency in high-frequency scenarios.
Enable Batch Retrieval: Instead of sending multiple individual requests for addresses, implementing batch fetching would streamline the process, reducing the load on the system and enhancing overall performance when retrieving multiple addresses at once.
By applying these optimizations, the overall responsiveness of applications depending on address lookups would improve, particularly in scenarios requiring multiple concurrent requests.