Design and Prototype of a Solid-State Cache

Author:

Saxena Mohit1,Swift Michael M.1

Affiliation:

1. University of Wisconsin-Madison

Abstract

The availability of high-speed solid-state storage has introduced a new tier into the storage hierarchy. Low-latency and high-IOPS solid-state drives (SSDs) cache data in front of high-capacity disks. However, most existing SSDs are designed to be a drop-in disk replacement, and hence are mismatched for use as a cache. This article describes FlashTier , a system architecture built upon a solid-state cache (SSC), which is a flash device with an interface designed for caching. Management software at the operating system block layer directs caching. The FlashTier design addresses three limitations of using traditional SSDs for caching. First, FlashTier provides a unified logical address space to reduce the cost of cache block management within both the OS and the SSD. Second, FlashTier provides a new SSC block interface to enable a warm cache with consistent data after a crash. Finally, FlashTier leverages cache behavior to silently evict data blocks during garbage collection to improve performance of the SSC. We first implement an SSC simulator and a cache manager in Linux to perform an in-depth evaluation and analysis of FlashTier's design techniques. Next, we develop a prototype of SSC on the OpenSSD Jasmine hardware platform to investigate the benefits and practicality of FlashTier design. Our prototyping experiences provide insights applicable to managing modern flash hardware, implementing other SSD prototypes and new OS storage stack interface extensions. Overall, we find that FlashTier improves cache performance by up to 168% over consumer-grade SSDs and up to 52% over high-end SSDs. It also improves flash lifetime for write-intensive workloads by up to 60% compared to SSD caches with a traditional flash interface.

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture

Reference63 articles.

1. DFTL

2. Apple Inc. 2013. Fusion drive. http://www.apple.com/imac/performance/#fusion. Apple Inc. 2013. Fusion drive. http://www.apple.com/imac/performance/#fusion.

3. Tom Archer. 2006. MSDN Blog: Microsoft ReadyBoost. http://blogs.msdn.com/tomarcher/archive/2006/06/02/615199.aspx. Tom Archer. 2006. MSDN Blog: Microsoft ReadyBoost. http://blogs.msdn.com/tomarcher/archive/2006/06/02/615199.aspx.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reo: Enhancing Reliability and Efficiency of Object-based Flash Caching;2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS);2019-07

2. Hybrid Storage Systems: A Survey of Architectures and Algorithms;IEEE Access;2018

3. Design and implement of pre-loading SSD cache data using split file on Hadoop MapReduce;Proceedings of the 2015 Conference on research in adaptive and convergent systems;2015-10-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3