SFS: Random Write Considered Harmful in Solid State Drives
Changwoo Min1,2, Kangnyeon Kim1, Hyunjin Cho2, Sang-Won Lee1, Young Ik Eom1 1Sungkyunkwan University; 2Samsung Electronics
Motivation and Goals Improving random write performance of file systems on SSDs and extending life span of SSDs. • Random writes cause internal fragmentation of SSDs and thus lead to performance degradation of more than 10x. • In contrast to HDDs, the degradation caused by the fragmentation lasts for a while after write pattern is changed. • Even worse, the fragmentation increases garbage collection cost in SSDs and thus reduces the life span of SSDs.
Our Approach: SFS A log-structured file system with on writing data grouping and cost-hotness segment cleaning. 1. Why log-structured FS?
3. Cost-hotness cleaning
- Transforms the random writes at file system level into the sequential writes at the SSD.
- Natural extension of cost-benefit policy.
- Since hotness directly represents the update likelihood of segment, we use segment hotness instead of age.
- When the request size of random write is a multiple of clustered block size, random write bandwidth is converged to sequential write bandwidth.
- So, write performance can be mainly determined by sequential write performance of a SSD.
𝑓𝑟𝑒𝑒 𝑠𝑝𝑎𝑐𝑒 𝑔𝑒𝑛𝑒𝑟𝑎𝑡𝑒𝑑 𝑐𝑜𝑠𝑡 ∗𝑠𝑒𝑔𝑚𝑒𝑛𝑡 ℎ𝑜𝑡𝑛𝑒𝑠𝑠
2. On writing data grouping - Eager block grouping on writing to reduce segment cleaning overhead. - Colocate blocks with similar update likelihood (hotness) into the same segment to form a sharp bimodal distribution of segment utilization. - Hotness is determined by write frequency and temporal locality: write count / age - Criteria for block grouping is determined by a proposed iterative segment quantization algorithm, which finds natural hotness groups across segments in disk.
Evaluation SFS outperforms the traditional LFS by 2.5x in terms of throughput. Comparing to ext4 and btrfs, block erase count inside the SSD is reduced by 7.5x. Even in HDDs, SFS outperforms state-of-the-art file systems by 39x in terms of throughput.
temporal locality: write count / age. - Criteria for block grouping is determined by a proposed iterative segment quantization algorithm, which finds natural ...
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