A dynamic weighted data replication strategy in data grids

R. Chang, Hui-Ping Chang, Yun-Ting Wang
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引用次数: 85

Abstract

Data grids deal with a huge amount of data regularly. It is a fundamental challenge to ensure efficient accesses to such widely distributed data sets. Creating replicas to a suitable site by data replication strategy can increase the system performance. It shortens the data access time and reduces bandwidth consumption. In this paper, a dynamic data replication mechanism is proposed, which is called Latest Access Largest Weight (LALW). LALW selects a popular file for replication and calculates a suitable number of copies and grid sites for replication. By setting a different weight for each data access record, the importance of each record is differentiated. The data access records in the nearer past have higher weight. It indicates that these records have higher value of references. In other words, the data access records in the long past have lower reference values. A Grid simulator OptorSim is used to evaluate the performance of this dynamic replication strategy. The simulation results show that LAHW successfully increases the effective network usage. It means that the LALW replication strategy can find out a popular file and replicates it to a suitable site.
数据网格中的动态加权数据复制策略
数据网格有规律地处理大量数据。确保对如此广泛分布的数据集的有效访问是一个根本性的挑战。通过数据复制策略将副本创建到合适的站点,可以提高系统性能。它缩短了数据访问时间,减少了带宽消耗。本文提出了一种最新访问最大权重(LALW)的动态数据复制机制。LALW选择一个流行的文件进行复制,并计算适合复制的副本和网格站点的数量。通过对每条数据访问记录设置不同的权重,可以区分每条记录的重要性。较近的数据访问记录具有较高的权重。说明这些记录具有较高的参考价值。换句话说,较长时间内的数据访问记录具有较低的参考价值。使用网格模拟器OptorSim来评估这种动态复制策略的性能。仿真结果表明,LAHW成功地提高了网络的有效利用率。这意味着LALW复制策略可以找到流行的文件并将其复制到合适的站点。
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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