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Popularity Based Cache Management Scheme for RAID which uses an SSD as a Cache

机译:基于流行的RAID缓存管理方案,用于将SSD作为缓存

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In this paper, we propose a static cache management policy for RAID architecture which uses an SSD as a disk cache. Because SSD has several drawbacks, dynamic cache management scheme such as LRU can cause serious problem i.e., too much write operations can be occurred in order to contain most recently used data. Frequent write operations on SSD not only slow down the performance but also shorten the lifetime. For this reason, we propose a static cache management policy which takes popularity and size into account. Popular data of some period is copied into SSD and too large files are excluded since too large files can lower the hit ratio. We used real trace to evaluate our scheme and the results showed that write counts are reduced to 1/37 of LRU policy as we desired. Unfortunately, the average hit ratio was lower than LRU policy but when popular data is similar between two periods, our scheme showed better hit ratio than LRU. This implies that our scheme can be used on web server which follows zipf's distribution and has smooth changing of popular data.
机译:在本文中,我们为RAID架构提出了一种静态缓存管理策略,它使用SSD作为磁盘缓存。由于SSD具有多个缺点,因此LRU等动态缓存管理方案可能导致严重问题,即,可以发生太多的写操作,以包含最近使用的数据。 SSD频繁写入操作不仅减慢了性能,还缩短了寿命。因此,我们提出了一个静态缓存管理策略,它考虑了受欢迎程度和大小。一段时间的流行数据被复制到SSD中,而且由于太大的文件可以降低命中率,因此排除了太大的文件。我们使用真实的痕迹来评估我们的方案,结果表明,当我们所期望的情况下,写入计数减少到LRU政策的1/37。不幸的是,平均命中率低于LRU政策,但是当流行数据在两个时期之间相似时,我们的方案显示出比LRU更好的命中比率。这意味着我们的方案可以在Web服务器上使用,这些服务器遵循ZIPF的分布,并具有平滑的流行数据的变化。

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