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首页> 外文期刊>IEICE transactions on information and systems >Hybrid Storage System Consisting of Cache Drive and Multi-Tier SSD for Improved IO Access when IO is Concentrated
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Hybrid Storage System Consisting of Cache Drive and Multi-Tier SSD for Improved IO Access when IO is Concentrated

机译:当IO集中时,由高速缓存驱动器和多层SSD组成的混合存储系统可改善IO访问

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In previous studies, we determined that workloads often contain many input-output (IO) concentrations. Such concentrations are aggregations of IO accesses. They appear in narrow regions of a storage volume and continue for durations of up to about an hour. These narrow regions occupy a small percentage of the logical unit number capacity, include most IO accesses, and appear at unpredictable logical block addresses. We investigated these workloads by focusing on page-level regularity and found that they often include few regularities. This means that simple caching may not reduce the response time for these workloads sufficiently because the cache migration algorithm uses page-level regularity. We previously developed an on-the-fly automated storage tiering (OTF-AST) system consisting of an SSD and an HDD. The migration algorithm identifies IO concentrations with moderately long durations and migrates them from the HDD to the SSD. This means that there is little or no reduction in the response time when the workload includes few such concentrations. We have now developed a hybrid storage system consisting of a cache drive with an SSD and HDD and a multi-tier SSD that uses OTF-AST, called “OTF-AST with caching.” The OTF-AST scheme handles the IO accesses that produce moderately long duration IO concentrations while the caching scheme handles the remaining IO accesses. Experiments showed that the average response time for our system was 45% that of Facebook FlashCache on a Microsoft Research Cambridge workload.
机译:在以前的研究中,我们确定工作负载通常包含许多输入输出(IO)浓度。这样的集中是IO访问的聚集。它们出现在存储卷的狭窄区域中,并持续长达大约一个小时的时间。这些狭窄的区域仅占逻辑单元号容量的一小部分,包括大多数IO访问,并且出现在不可预测的逻辑块地址上。我们通过关注页面级别的规律性来研究这些工作负载,发现它们通常很少包含规律性。这意味着简单的缓存可能无法充分减少这些工作负载的响应时间,因为缓存迁移算法使用页面级规则性。我们之前开发了一种由SSD和HDD组成的实时自动存储分层(OTF-AST)系统。迁移算法可确定持续时间较长的IO浓度,并将其从HDD迁移到SSD。这意味着当工作量很少集中时,响应时间几乎没有减少。我们现在已经开发了一种混合存储系统,该系统由具有SSD和HDD的缓存驱动器和使用OTF-AST的多层SSD组成,称为“带缓存的OTF-AST”。 OTF-AST方案处理产生中等长持续时间IO集中的IO访问,而高速缓存方案处理剩余的IO访问。实验表明,在Microsoft Research Cambridge工作负载下,我们系统的平均响应时间是Facebook FlashCache的45%。

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