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Optimal selection of garbage collection dirty threshold to balance power consumption and space release

机译：优化选择垃圾收集脏阈值以平衡功耗和空间释放

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摘要

Shingled Magnetic Recording (SMR) drives have been commercialized in recent years to provide high density and large capacity data storage. However, due to their append-only write property, the data update is usually handled through a log-structured manner, which causes old data to become invalid and dirty. Garbage collection (GC) methods are therefore introduced to clean the dirty data to release the disk space. However, the necessity of GC process performed remains an issue, as the process may increase the power consumption and downgrade the performance. Thus our emphasis in this paper is placed on the decision of the process under different workload conditions and system settings for overall power consumption reduction and disk space saving. An analytical model is built to study various scenarios, and a simulator is further developed to verify the correctness of the model. The selection of parameters, such as GC garbage ratio threshold for GC process in SMR drive, can be guided with our model and simulation tool.
机译：近年来，带磁化的磁记录（SMR）驱动器已经商业化，以提供高密度和大容量的数据存储。但是，由于它们的仅追加写入属性，因此通常通过日志结构的方式来处理数据更新，这将导致旧数据变得无效且肮脏。因此，引入了垃圾回收（GC）方法来清除脏数据以释放磁盘空间。但是，执行GC过程的必要性仍然是一个问题，因为该过程可能会增加功耗并降低性能。因此，我们在本文中的重点放在在不同工作负载条件和系统设置下的过程决策上，以降低总体功耗并节省磁盘空间。建立了一个分析模型来研究各种情况，并进一步开发了一个模拟器来验证模型的正确性。可以使用我们的模型和仿真工具来指导参数的选择，例如SMR驱动器中GC过程的GC垃圾比率阈值。

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