基于fastNTsync算法的海量小文件同步优化方法研究

Research on optimizing the synchronization of massive small files based on fastNTsync algorithm

为解决海量小文件同步过程中的性能瓶颈,提出一种基于fastNTsync优化方法。综合运用NTFS分区表快照技术、NTFS$MFT分析技术和文件打包分区组合拷贝技术,来减少数据包往返时间浪费,提升带宽使用率,提高数据同步速度和效率。实验结果表明,该方法在处理大量小文件时具有显著优势,能提高同步速度和效率,并减少数据传输量和时间浪费。该基于fastNTsync算法的海量小文件同步优化方法对相关领域的研究及应用具有参考价值。

To solve the performance bottleneck in the synchronization process of massive small files,the fastNTsync optimization method is proposed.The NTFS partition table snapshot technology,NTFS$MFT analysis technology,and file packing partition combination copying technology are comprehensively applied to reduce data packet round-trip time waste,improve bandwidth utilization,and enhance data synchronization speed and efficiency.Experimental results demonstrate that this method has significant advantages in handling large numbers of small files,improves the synchronization speed and efficiency,and reduces data transmission volume and time waste,which has reference value for research and application in related fields.