tldr - powered by Generative AI

• The rough store layer in TechAV uses rough consensus algorithm to make the system fault-tolerant.
• The star series in the rough store layer handles the work of multi-rough groups and uses roughed eyes as consensus aggression module.
• The duration time of a message append and a message append response is equal to network round trip time (RTT) and contains an unnecessary 0.5 IO duration.
• Applying unpersistent entries in advance can significantly reduce the tail latency of store duration.
• Privately applying process a single serious theory for each rough group can reduce the tail latency of reply duration.