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