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Effect of speculative prefetching on network load in distributed systems

机译:推测性预取对分布式系统中网络负载的影响

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摘要

Previous studies in speculative prefetching focus on building and evaluating access models for the purpose of access prediction. This paper on the other hand investigates the performance of speculative prefetching. When prefetching is performed speculatively, there is bound to be an increase in the network load. Furthermore, the prefetched items must compete for space with existing cache occupants. These two factors-increased load and eviction of potentially useful cache entries-are considered in the analysis. We obtain the following conclusion: to maximise the improvement in access time, prefetch exclusively all items with access probabilities exceeding a certain threshold.
机译:先前关于推测性预取的研究集中于为访问预测目的而构建和评估访问模型。另一方面,本文研究了推测性预取的性能。当以推测方式执行预取时,必然会增加网络负载。此外,预取的项目必须与现有的缓存占用者竞争空间。分析中考虑了这两个因素,即增加的负载和潜在有用的缓存条目的逐出。我们得出以下结论:为了最大程度地改善访问时间,请仅预取访问概率超过特定阈值的所有项目。

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