CBM: SSD的协作缓冲区管理

Q. Wei, Cheng Chen, Jun Yang
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引用次数: 29

摘要

随机写极大地限制了SSD在科学计算、Web服务、数据库等I/O密集型应用中的应用。虽然提出了几种缓冲区管理算法来减少随机写入,但它们处理顺序和随机访问混合工作负载的能力有限。在本文中,我们提出了一种协作式缓冲区管理方案CBM,该方案协调写缓冲区和读缓存,以充分利用I/O密集型工作负载中的时间和空间位置。为了提高缓冲区命中率和破坏顺序,CBM将写缓冲区空间划分为页区和块区。随机写入的数据以页粒度放在页区域中,而顺序写入的数据以块粒度存储在块区域中。CBM利用基于阈值的迁移动态地对随机写入和顺序写入进行分类。当一个块从写缓冲区中被驱逐时,CBM合并写缓冲区中的脏页和属于被驱逐块的读缓存中的干净页,以最大限度地提高形成完整块写的可能性。CBM已经在OpenSSD上通过模拟和实际实现进行了广泛的评估。我们的测试结果最终表明,与现有的缓冲区管理方案相比,CBM可以实现高达84%的性能改进,并减少85%的垃圾收集开销。
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CBM: A cooperative buffer management for SSD
Random writes significantly limit the application of Solid State Drive (SSD) in the I/O intensive applications such as scientific computing, Web services, and database. While several buffer management algorithms are proposed to reduce random writes, their ability to deal with workloads mixed with sequential and random accesses is limited. In this paper, we propose a cooperative buffer management scheme referred to as CBM, which coordinates write buffer and read cache to fully exploit temporal and spatial localities among I/O intensive workload. To improve both buffer hit rate and destage sequentiality, CBM divides write buffer space into Page Region and Block Region. Randomly written data is put in the Page Region at page granularity, while sequentially written data is stored in the Block Region at block granularity. CBM leverages threshold-based migration to dynamically classify random write from sequential writes. When a block is evicted from write buffer, CBM merges the dirty pages in write buffer and the clean pages in read cache belonging to the evicted block to maximize the possibility of forming full block write. CBM has been extensively evaluated with simulation and real implementation on OpenSSD. Our testing results conclusively demonstrate that CBM can achieve up to 84% performance improvement and 85% garbage collection overhead reduction compared to existing buffer management schemes.
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