RAFS: A RAID-Aware File System to Reduce the Parity Update Overhead for SSD RAID

Chenlei Tang, Ji-guang Wan, Yifeng Zhu, Zhiyuan Liu, Peng Xu, Fei Wu, C. Xie
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引用次数: 2

Abstract

In a parity-based SSD RAID, small write requests not only accelerate the wear-out of SSDs due to extra writes for updating parities but also deteriorate performance due to associated expensive garbage collection. To mitigate the problem of small writes, a buffer is often added at the RAID controller to absorb overwrites and writes performed to the same stripe. However, this approach achieves only suboptimal efficiency because file layout information is invisible at the block level.This paper proposes RAFS, a RAID-aware file system, which utilizes a RAID-friendly data layout to improve the reliability and performance of SSD-based RAID 5. By leveraging delayed allocation of modern file systems, RAFS employs a stripe-aware buffer policy to coalesce writes to the same file. To reduce parity updates, RAFS compacts buffered updates and flushes back in stripe units to mitigate the parity update overhead. RAFS adopts a stripe-granularity allocation scheme to align writes to stripe boundaries. Experimental results show that RAFS can improve throughput by up to 90%, compared to Ext4.
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RAFS:一种RAID感知文件系统,减少SSD RAID的奇偶校验更新开销
在基于奇偶校验的SSD RAID中,小的写请求不仅会因为更新奇偶校验而进行额外的写操作而加速SSD的损耗,而且还会因为相关的昂贵的垃圾收集而降低性能。为了减轻小写的问题,通常在RAID控制器上添加一个缓冲区,以吸收对同一条执行的覆盖和写操作。然而,这种方法只能达到次优的效率,因为文件布局信息在块级别是不可见的。本文提出了一种RAID感知文件系统RAFS,它利用一种RAID友好的数据布局来提高基于ssd的RAID 5的可靠性和性能。通过利用现代文件系统的延迟分配,RAFS采用条带感知缓冲策略来合并对同一文件的写操作。为了减少奇偶更新,RAFS压缩了缓存更新,并以条带单位进行刷新,以减轻奇偶更新的开销。RAFS采用条带粒度分配方案,将写对齐到条带边界。实验结果表明,与Ext4相比,RAFS可以将吞吐量提高90%。
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