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TESA: a temporal and spatial information aware writeback policy for home network-attached storage devices

机译:TESA:家庭网络连接的存储设备的时空信息感知回写策略

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Home Network-Attached Storage (NAS) provides an easy way for data sharing and backup among multiple consumer electronic devices in home networks. Because of large capacity and cost effectiveness, disks are widely adopted in home NAS devices. In addition, data writes are common for many home NAS devices since these devices are usually used for data storage and backup. A writeback policy selects which dirty buffers are to be flushed to the disk, which is critical to the system performance under write-intensive workloads. In this paper, an intelligent writeback policy for home NAS called TESA is proposed. In contrast to most existing writeback policies, TESA considers both temporal and spatial information of the dirty buffers to improve the writeback performance. Considering the temporal information helps to reduce the frequency of writing back recently used dirty buffers, and hence leads to reduced write traffic. Considering the spatial information causes a reduction in the overall seek time and rotation delay of the dirty buffer writeback. The TESA writeback policy was implemented on a NAS evaluation board running Linux kernel. The performance results shows that TESA yields a significant performance improvement (i.e., up to 33.1%) over the original writeback policy of Linux. Moreover, TESA outperforms the policy that considers only the temporal information of the dirty buffers by up to 21.0%, and it also has up to 10.9% performance improvement over a previous policy that considers both the temporal and spatial information1.
机译:家庭网络附加存储(NAS)为家庭网络中的多个消费电子设备之间的数据共享和备份提供了一种简便的方法。由于容量大和成本效益高,磁盘已在家庭NAS设备中广泛采用。另外,由于许多家庭NAS设备通常用于数据存储和备份,因此数据写入很常见。回写策略选择要刷新到磁盘的脏缓冲区,这对于写密集型工作负载下的系统性能至关重要。本文提出了一种智能的家庭NAS写回策略,称为TESA。与大多数现有的回写策略相反,TESA会考虑脏缓冲区的时间和空间信息,以提高回写性能。考虑时间信息有助于减少回写最近使用的脏缓冲区的频率,从而减少写流量。考虑到空间信息,将减少总查找时间并减少脏缓冲区写回的旋转延迟。 TESA回写策略是在运行Linux内核的NAS评估板上实现的。性能结果表明,TESA与Linux的原始写回策略相比,具有显着的性能提高(即高达33.1%)。此外,TESA的性能比仅考虑脏缓冲区的时间信息的策略高21.0%,并且与先前考虑时间和空间信息 1 的策略相比,性能也提高了10.9%。 sup>。

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