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Simulation Model and Instrument to Evaluate Replication Techniques

机译:仿真模型与仪器评估复制技术

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Fault tolerance in distributed systems relies heavily on some form of replication. Replication can also be used to reduce the access latency and the bandwidth consumption in large scale distributed systems. However, in case of large volumes of data, the replica placing strategy and the consistency algorithms become key factors for the performance of the data replication strategy. We present a simulation model designed to realistically evaluate replication solutions for large scale distributed systems. The model was implemented as an extension of the MONARC simulator. In this context, we present a scalable architecture designed to facilitate the adoption of data replication strategies in large scale distributed systems. The solution combines a hybrid replication model with a proposed fault tolerant strategy for data consistency. We present evaluation results of this strategy using the MONARC simulator.
机译:分布式系统中的容错大量依赖于某种形式的复制。复制还可用于降低大规模分布式系统中的访问延迟和带宽消耗。然而,在大量数据的情况下,副本放置策略和一致性算法成为数据复制策略性能的关键因素。我们提出了一种仿真模型,旨在实际评估大规模分布式系统的复制解决方案。该模型实现为蒙街模拟器的扩展。在此上下文中,我们展示了一种可扩展的架构,旨在促进在大规模分布式系统中采用数据复制策略。该解决方案将混合复制模型与建议的容错策略组合,以进行数据一致性。我们使用Monarc Simulator提出了该策略的评估结果。

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