A flexible OS-based approach for characterizing solid-state disk endurance

G. Kandiraju, Kaoutar El Maghraoui
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引用次数: 2

Abstract

The performance and power benefits of Flash memory have paved its adoption in mass storage devices in the form of Solid-State Disks (SSDs). Despite these benefits, Flash memory's limited write endurance remains a big impediment to its wide adoption in the enterprise server market. Existing research efforts have mostly focused on proposing various mechanisms and algorithms to improve SSD's performance and reliability. However, there is still a lack of flexible tools that allow characterizing SSD endurance (i.e., wear-out behavior) and investigating its impact on applications without affecting the lifetime of the real SSD device. To address this issue, SolidSim, a kernel-level simulator has been enhanced with capabilities to simulate state-of-the-art wear-leveling, garbage-collection and other advanced internal management techniques of an SSD. These extensions have further increased SolidSim's flexibility to study both SSD performance and endurance characteristics. Our approach allows investigating these characteristics without requiring any changes to applications or gathering any workload traces. The paper presents insights into wear-out behavior including logical, physical and translation characteristics, and correlates them with application behavior and SSD life-times using a set of representative workloads.
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一种灵活的基于操作系统的方法,用于表征固态磁盘的耐用性
闪存的性能和功耗优势已经为其在固态硬盘(ssd)形式的大容量存储设备中的应用铺平了道路。尽管有这些好处,闪存有限的写入持久性仍然是其在企业服务器市场广泛采用的一大障碍。现有的研究工作主要集中在提出各种机制和算法来提高SSD的性能和可靠性。然而,仍然缺乏灵活的工具,可以在不影响实际SSD设备的使用寿命的情况下,表征SSD耐用性(即磨损行为)并调查其对应用程序的影响。为了解决这个问题,内核级模拟器SolidSim已经增强了模拟SSD最先进的磨损均衡、垃圾收集和其他高级内部管理技术的功能。这些扩展进一步增加了SolidSim研究SSD性能和耐用性特性的灵活性。我们的方法允许在不需要对应用程序进行任何更改或收集任何工作负载跟踪的情况下调查这些特征。本文介绍了对损耗行为的见解,包括逻辑、物理和转换特征,并使用一组代表性工作负载将它们与应用程序行为和SSD生命周期相关联。
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