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Exploiting Spatial Locality for Objects Layout in Virtual Environments

机译:在虚拟环境中利用空间局部性进行对象布局

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On-disk sequentiality of requested data, or their spatial locality, is critical to disk performance. Unfornately, spatial locality of cached data is largely ignored, and only temporal locality is considered in current system buffer cache managments. Besides, an individual object might induce different relations in different applications. A novel hypergraph scheme was proposed to represent the complex relations among the objects. Instead of a local measure that depends only on common objects among patterns, we propose a global measure that is based on the semantic properties of these patterns in the overall data set. The experiments show the effectiveness of the proposed framework.
机译:磁盘上所请求数据的顺序或它们的空间位置对于磁盘性能至关重要。不幸的是,缓存数据的空间局部性在很大程度上被忽略,并且在当前系统缓冲区高速缓存管理中仅考虑了时间局部性。此外,单个对象可能会在不同的应用程序中引发不同的关系。提出了一种新颖的超图方案来表示对象之间的复杂关系。代替仅依赖于模式中的公共对象的局部度量,我们提出了一种基于整体数据集中这些模式的语义属性的全局度量。实验证明了所提出框架的有效性。

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