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Simulation Model and Instrument to Evaluate Replication Techniques

机译:评估复制技术的仿真模型和仪器

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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在很大程度上依赖于某种复制形式。复制还可以用于减少大规模分布式系统中的访问延迟和带宽消耗。但是,在海量数据的情况下,副本放置策略和一致性算法成为影响数据复制策略性能的关键因素。我们提供了一个仿真模型,旨在现实地评估大型分布式系统的复制解决方案。该模型是MONARC仿真器的扩展。在这种情况下,我们提出了一种可伸缩的体系结构,旨在促进大规模分布式系统中数据复制策略的采用。该解决方案将混合复制模型与建议的容错策略结合在一起,以实现数据一致性。我们使用MONARC模拟器展示了该策略的评估结果。

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