基于云计算技术的分布式存储系统数据传输功能优化

Optimization of Data Transmission Function in Distributed Storage Systems Based on Cloud Computing Technology

针对分布式存储系统在云计算环境中数据传输效率低下及存储空间率利用不足的问题,该文提出了一种基于数据去重技术的优化方法。这一方法通过识别并消除存储过程中的冗余数据,有效提高了数据传输的效率并节约了存储空间。采用该方法系统将上传的文件分块,并为每个块生成唯一的哈希值以进行快速比对。通过去重检查,系统能够识别出重复的数据块,从而避免了重复存储和传输,显著减少了数据中心的负载。对于新的数据块,则进行存储并更新索引,以支持高效的数据检索。实验结果表明,使用数据去重技术能够在保持数据完整性的同时,显著提高数据传输的速率和存储系统的整体性能。综上所述,该文不仅提出了一种有效的分布式存储系统优化方案,也为云计算环境下的数据管理提供了新的思路。

This paper proposes an optimization method based on data deduplication technology to address the issues of low data transmission efficiency and insufficient utilization of storage space in distributed storage systems in cloud computing environments.This method effectively improves the efficiency of data transmission and saves storage space by identifying and eliminating redundant data in the storage process.Firstly,the system divides the uploaded files into blocks and generates unique hash values for each block for quick comparison.By performing deduplication checks,the system is able to identify duplicate data blocks,thereby avoiding duplicate storage and transmission and significantly reducing the load on the data center.For new data blocks,store and update indexes to support efficient data retrieval.The experimental results show that using data deduplication technology can significantly improve the data transmission rate and overall performance of the storage system while maintaining data integrity.In summary,this study not only proposes an effective optimization solution for distributed storage systems,but also provides new ideas for data management in cloud computing environments.