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引用次数: 0

摘要

在备份环境中降低存储利用率和高效处理数据复制是由新兴的重复数据删除技术引入的。Chunk是一种将数据分成多个块的方法,每个块都有唯一的哈希标识符用于标识。为了检查数据重复,用先前存储的块检查块的哈希标识符。它提高了云存储的效率。本项目提出了基于Rabin的分块和使用吞吐量的快速非对称最大(RAM)分块的性能分析。过程考虑了人口数据集的案例研究,其中州和地区正在考虑参数进行分块和分析重复数据删除。
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Performance Analysis of Cloud Storage Using Chunking Algorithm
The reduction of storage utilization and handling data replication in the backup environment efficiently which was introduced by the emerging technology called Data de-duplication. The Chunk is a method of breaking data into multiple pieces and each chunk has the unique hash identifier for identification. To check data duplication the hash identifier of a chunk is checked with the previously stored chunk. It increases the efficiency of cloud storage. This project proposes a performance analysis of Rabin based chunking and Rapid Asymmetric Maximum (RAM) chunking using throughput. Process considers the case study of population dataset in which the state and district are considering the parameter to perform chunking and to analyze the de-duplication.
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