打开SSD算法的大门:技术视角

Commun. ACM Pub Date : 2023-06-22 DOI:10.1145/3596204
R. Sitaraman
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引用次数: 0

摘要

任意写操作序列的写放大。这些算法揭示了“死亡时间”在最小化写放大方面所起的重要作用,其中页的死亡时间是下一次修改该页时。熟悉几十年前的内存缓存管理文献的人可能会想起Belady的算法,该算法通过清除未来访问最远的页面来实现最大的缓存命中率。在这两个研究领域中,未来访问页面的时间在算法设计中起着至关重要的作用,这两者之间的粗略类比是很难忽略的。明确考虑写入放大和损耗均衡的ssd算法和数据结构的正式研究仍处于起步阶段。在目前的技术水平下,最初为其他存储介质设计的软件通常仅根据经验评估进行改造,以适用于ssd。从历史上看,一个好的模型是打开理论进步和算法发现之门的钥匙。本文最重要的影响可能是吸引更多的研究和研究人员对SSD算法的基础研究。考虑到ssd在现代计算领域中不断扩大的作用,这种研究的好处很难被夸大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Opening the Door to SSD Algorithmics: Technical Perspective
write amplification of an arbitrary sequence of write operations. These algorithms expose the vital role “death times” play in minimizing write amplification, where the death time of a page is the next time the page is modified. Those familiar with the decades-old literature in memory cache management may recall Belady’s algorithm, which achieves the maximum cache hit rate by evicting pages accessed farthest in the future. The rough analogy between the two research areas where the time of future access of pages plays a critical role in algorithm design is difficult to miss. The formal study of algorithms and data structures for SSDs that explicitly account for write amplification and wear leveling is still in its infancy. In the current state of the art, software initially designed for other storage media is often retrofitted to work for SSDs based solely on empirical evaluation. A good model has historically been the key that opens the door to theoretical advances and algorithmic discoveries. The most significant impact of this paper is likely to come by attracting more research and researchers to the foundational study of SSD algorithmics. Given the ever-expanding role of SSDs in the modern computing universe, the benefits of such research can hardly be overstated.
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