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A framework for replication in Data Grid

机译:数据网格中复制的框架

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摘要

Data replication is the creation and maintenance of multiple copies of the same data. Replication is used in Data Grid to enhance data availability and fault tolerance. In this paper, a framework for replication in the Data Grid is proposed. The framework is considered an environment that can be used to evaluate the performance of different replication strategies. An event-driven simulator written in Java is used to evaluate the performance of three replication strategies based on the new proposed framework. These strategies are No Replication, Plain Caching, and Fast Spread. The simulation results show that Plain Caching strategy achieved the best performance, while No Replication strategy achieved the worst performance in terms of number of requests served locally (NORSL).
机译:数据复制是创建和维护相同数据的多个副本。在数据网格中使用复制来增强数据可用性和容错能力。本文提出了一种在数据网格中进行复制的框架。该框架被认为是可用于评估不同复制策略性能的环境。基于Java编写的事件驱动模拟器用于评估基于新提出的框架的三种复制策略的性能。这些策略是“无复制”,“纯缓存”和“快速传播”。仿真结果表明,就本地服务的请求数(NORSL)而言,“纯缓存”策略获得了最佳性能,而“无复制”策略则获得了最差的性能。

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