2F: A Special Cache for Mapping Table of Page-Level Flash Translation Layer

Zhiguang Chen, Nong Xiao, Fang Liu, Yimo Du
{"title":"2F: A Special Cache for Mapping Table of Page-Level Flash Translation Layer","authors":"Zhiguang Chen, Nong Xiao, Fang Liu, Yimo Du","doi":"10.1109/ICPADS.2010.60","DOIUrl":null,"url":null,"abstract":"The development of flash memory drives flash based SSDs to enter into enterprise-scale storage systems. As the kernel of SSD, flash translation layer (FTL) attracts many attentions. Generally, there are two types of FTLs according to the granularity of address mapping: block-level and page-level mapping FTLs. We focus on the latter one. Typically, page-level mapping scheme must employ a cache to alleviate the memory pressure introduced by the big mapping table. We argue that classic cache replacement policies aren’t competent for the page table cache of FTLs. The major contribution of this work is to design a dedicated cache replacement policy called Two Filters (abbreviated as 2F) for page-level mapping FTLs. 2F aims at two goals. The first is higher hit ratio as all the replacement policies pursue. As 2F not only protects frequently accessed pages, but also protects sequentially accessed pages at little cost, it does achieve a higher hit ratio. The second goal is to distinguish hot pages from the cold. This goal is special for page table of FTLs. If hot and cold pages are directed to separate blocks, garbage collection will be more efficient. In order to achieve this goal, 2F employs two filters. One is used for containing sequentially accessed pages. Another is used for selecting hot pages. Trace driven simulations present that 2F outperforms classic replacement policies in both hit ratio and data classification.","PeriodicalId":365914,"journal":{"name":"2010 IEEE 16th International Conference on Parallel and Distributed Systems","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 16th International Conference on Parallel and Distributed Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPADS.2010.60","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The development of flash memory drives flash based SSDs to enter into enterprise-scale storage systems. As the kernel of SSD, flash translation layer (FTL) attracts many attentions. Generally, there are two types of FTLs according to the granularity of address mapping: block-level and page-level mapping FTLs. We focus on the latter one. Typically, page-level mapping scheme must employ a cache to alleviate the memory pressure introduced by the big mapping table. We argue that classic cache replacement policies aren’t competent for the page table cache of FTLs. The major contribution of this work is to design a dedicated cache replacement policy called Two Filters (abbreviated as 2F) for page-level mapping FTLs. 2F aims at two goals. The first is higher hit ratio as all the replacement policies pursue. As 2F not only protects frequently accessed pages, but also protects sequentially accessed pages at little cost, it does achieve a higher hit ratio. The second goal is to distinguish hot pages from the cold. This goal is special for page table of FTLs. If hot and cold pages are directed to separate blocks, garbage collection will be more efficient. In order to achieve this goal, 2F employs two filters. One is used for containing sequentially accessed pages. Another is used for selecting hot pages. Trace driven simulations present that 2F outperforms classic replacement policies in both hit ratio and data classification.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一种用于页面级Flash翻译层映射表的特殊缓存
闪存驱动器的发展使基于闪存的ssd进入企业级存储系统。作为固态硬盘的核心,闪存转换层(FTL)备受关注。根据地址映射的粒度不同,一般分为块级映射FTLs和页级映射FTLs。我们关注的是后者。通常,页级映射方案必须使用缓存来减轻大映射表带来的内存压力。我们认为,经典的缓存替换策略不适用于ftl的页表缓存。这项工作的主要贡献是为页级映射ftl设计了一个专用的缓存替换策略,称为Two Filters(缩写为2F)。2F有两个目标。首先是所有替代政策都追求更高的命中率。由于2F不仅可以保护频繁访问的页面,而且可以以很小的成本保护顺序访问的页面,因此可以实现更高的命中率。第二个目标是区分热页和冷页。这个目标特别适用于ftl的页表。如果将热页和冷页定向到单独的块,那么垃圾收集将更有效。为了实现这一目标,2F使用了两个过滤器。一个用于包含顺序访问的页面。另一个用于选择热门页面。跟踪驱动模拟表明,2F在命中率和数据分类方面都优于经典替换策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Mixed-Parallel Implementations of Extrapolation Methods with Reduced Synchronization Overhead for Large Shared-Memory Computers Kumoi: A High-Level Scripting Environment for Collective Virtual Machines A Pervasive Simplified Method for Human Movement Pattern Assessing Broadcasting Algorithm Via Shortest Paths Detection of a Weak Conjunction of Unstable Predicates in Dynamic Systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1