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On the Endurance of the d-Choices Garbage Collection Algorithm for Flash-Based SSDs

机译:基于闪存的SSD的d-Choices垃圾收集算法的耐久性

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Garbage collection (GC) algorithms for flash-based solid-state drives (SSDs) have a profound impact on its performance and many studies have focused on assessing the so-called write amplification of various GC algorithms. In this article, we consider the family of d-choices GC algorithms and study (a) the extent in which these algorithms induce unequal wear and (b) the manner in which they affect the lifetime of the drive. For this purpose, we introduce two performance measures: PE fairness and SSD endurance. We study the impact of the d-choices GC algorithm on both these measures under different workloads (uniform, synthetic and trace-based) when combined with two different write modes. Numerical results show that the more complex of the two write modes, which requires hot/cold data identification, may not necessarily give rise to a significantly better SSD endurance. Further, the d-choices GC algorithm is often shown to strike a good balance between garbage collection and wear leveling for small d values (e.g., d = 10), yielding high endurance.
机译:基于闪存的固态驱动器(SSD)的垃圾回收(GC)算法对其性能具有深远的影响,许多研究都集中于评估各种GC算法的所谓写放大。在本文中,我们考虑了d-choices GC算法家族,并研究(a)这些算法引起不均等磨损的程度,以及(b)影响驱动器寿命的方式。为此,我们引入了两个性能指标:PE公平性和SSD耐久性。当结合两种不同的写入模式时,我们研究了d-choices GC算法在不同工作负载(均匀,合成和基于跟踪)下对这两种措施的影响。数值结果表明,需要热/冷数据识别的两种写入模式中较为复杂的不一定能显着提高SSD的耐用性。此外,对于较小的d值(例如d = 10),经常显示d-choices GC算法在垃圾回收和磨损均衡之间达到了良好的平衡,从而产生了很高的耐力。

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