{"title":"H-SWD: Incorporating Hot Data Identification into Shingled Write Disks","authors":"Chung-I Lin, Dongchul Park, Weiping He, D. Du","doi":"10.1109/MASCOTS.2012.44","DOIUrl":null,"url":null,"abstract":"Shingled write disk (SWD) is a magnetic hard disk drive that adopts the shingled magnetic recording (SMR) technology to overcome the areal density limit faced in conventional hard disk drives (HDDs). The SMR design enables SWDs to achieve two to three times higher areal density than the HDDs can reach, but it also makes SWDs unable to support random writes/in-place updates with no performance penalty. In particular, a SWD needs to concern about the random write/update interference, which indicates writing to one track overwrites the data previously stored on the subsequent tracks. Some research has been proposed to serve random write/update out-of-place to alleviate the performance degradation at the cost of bringing in the concept of garbage collection. However, none of these studies investigate SWDs based on the garbage collection performance. In this paper, we propose a SWD design called Hot data identification-based Shingled Write Disk (H-SWD). The H-SWD adopts a window-based hot data identification to effectively manage data in the hot bands and the cold bands such that it can significantly reduce the garbage collection overhead while preventing the random write/update interference. The experimental results with various realistic workloads demonstrates that H-SWD outperforms the Indirection System. Specifically, incorporating a simple hot data identification empowers the H-SWD design to remarkably improve garbage collection performance.","PeriodicalId":278764,"journal":{"name":"2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"43","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MASCOTS.2012.44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 43
Abstract
Shingled write disk (SWD) is a magnetic hard disk drive that adopts the shingled magnetic recording (SMR) technology to overcome the areal density limit faced in conventional hard disk drives (HDDs). The SMR design enables SWDs to achieve two to three times higher areal density than the HDDs can reach, but it also makes SWDs unable to support random writes/in-place updates with no performance penalty. In particular, a SWD needs to concern about the random write/update interference, which indicates writing to one track overwrites the data previously stored on the subsequent tracks. Some research has been proposed to serve random write/update out-of-place to alleviate the performance degradation at the cost of bringing in the concept of garbage collection. However, none of these studies investigate SWDs based on the garbage collection performance. In this paper, we propose a SWD design called Hot data identification-based Shingled Write Disk (H-SWD). The H-SWD adopts a window-based hot data identification to effectively manage data in the hot bands and the cold bands such that it can significantly reduce the garbage collection overhead while preventing the random write/update interference. The experimental results with various realistic workloads demonstrates that H-SWD outperforms the Indirection System. Specifically, incorporating a simple hot data identification empowers the H-SWD design to remarkably improve garbage collection performance.
Shingled write disk (SWD)是一种采用Shingled magnetic recording (SMR)技术的磁性硬盘驱动器,克服了传统硬盘驱动器(hdd)的面密度限制。SMR设计使swd的面密度比hdd高两到三倍,但它也使swd无法在不影响性能的情况下支持随机写/就地更新。特别是,SWD需要关注随机写入/更新干扰,这表明写入一个磁道会覆盖先前存储在后续磁道上的数据。一些研究已经提出,以引入垃圾收集的概念为代价,提供非位置随机写/更新服务,以减轻性能下降。然而,这些研究都没有基于垃圾收集性能来调查swd。在本文中,我们提出了一种SWD设计,称为基于热数据识别的Shingled Write Disk (H-SWD)。H-SWD采用基于窗口的热数据识别,对热带和冷带的数据进行有效管理,在防止随机写/更新干扰的同时,显著降低垃圾回收开销。在各种实际工作负载下的实验结果表明,H-SWD系统优于间接系统。具体来说,结合简单的热数据识别使H-SWD设计能够显著提高垃圾收集性能。