Comparative Analysis of Different Data Replication Strategies in Cloud Environment

K. Sasikumar, B. Vijayakumar
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Abstract

In this paper, we performed a comparative study of the different data replication strategies such as Adaptive Data Replication Strategy (ADRS), Dynamic Cost Aware Re-Replication and Rebalancing Strategy (DCR2S) and Efficient Placement Algorithm (EPA) in the cloud environment. The implementation of these three techniques is done in JAVA and the performance analysis is conducted to study the performance of those replication techniques by various parameters. The parameters used for the performance analysis of these three techniques are Load Variance, Response Time, Probability of File Availability, System Byte Effective Rate (SBER), Latency, and Fault Ratio. From the analysis, it is evaluated that by varying the number of file replicas, it shows deviations in the outcomes of these parameters. The comparative results were also analyzed.
云环境下不同数据复制策略的比较分析
在本文中,我们对不同的数据复制策略进行了比较研究,如自适应数据复制策略(ADRS)、动态成本感知重复制和再平衡策略(DCR2S)和高效放置算法(EPA)在云环境中。在JAVA中实现了这三种技术,并通过各种参数对这些复制技术的性能进行了性能分析。这三种技术的性能分析参数包括负载变化、响应时间、文件可用概率、SBER (System Byte Effective Rate)、时延和故障率。从分析中可以评估,通过改变文件副本的数量,可以显示这些参数的结果的偏差。并对对比结果进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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