CSR: Small: Efficient Usage of Shingled Magnetic Recording (SMR)Drives

CSR：小型：叠瓦式磁记录 (SMR) 驱动器的高效使用

• 批准号: 1525617
• 负责人: David Du
• 金额: $ 49.5万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-10-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1525617&HistoricalAwards=false
• 关键词: CSR; Small; Efficient; Usage; Shingled

The past decade has witnessed tremendous advances in computing, wired and wireless communication and storage technologies. It is also important that remarkable cost reductions have made large computing and storage capacity increasingly available. Many networks are integrated into the world's largest IT (Information Technology) infrastructure called the Internet. With the unprecedented connectivity provided by Internet, a huge amount digital data has been created and made available. Storage for the huge amount of data being generated has become a significant challenge. At the same time, more data types like audio and video are converted into digital format and data in various types needs to be preserved for a very long term (beyond 100 years). Thus, we are indeed in a big data era. The big data problem is currently faced by not only individuals, but also by almost all segments of the society, including professional groups, research communities, companies and government. In this project to address the challenges of storing and accessing big data, the plan is to investigate new and efficient ways of using a promising technology called Shingled Magnetic Recording (SMR) for storing large volumes of data in magnetic disk drives (called Shingled Write Disks). SMR based drives are a promising technology that may answer the storage demand of big data. Since the benefits of SMR come from overlapping tracks during writes, it is important to investigate novel uses to reduce the potential write amplification when updates of data are performed. The project plan is to develop both novel layout designs that can reduce write amplification and specialized file systems that can enable applications to use such a device without any modifications, as well as, novel ways of efficiently supporting tree and graph based data structures on SMR drives for many big data related applications. The successful completion of this work will provide a new type of storage devices meeting the demand of big data.

过去十年见证了计算、有线和无线通信以及存储技术的巨大进步。同样重要的是，显着的成本降低使得大计算和存储容量变得越来越可用。许多网络都集成到了世界上最大的 IT（信息技术）基础设施（称为互联网）中。 随着互联网提供的前所未有的连接性，大量的数字数据被创建并可供使用。存储所生成的大量数据已成为一项重大挑战。 与此同时，越来越多的数据类型（例如音频和视频）被转换为数字格式，各种类型的数据需要长期保存（超过100年）。由此可见，我们确实处于一个大数据时代。 目前，大数据问题不仅是个人所面临的，而且几乎是社会各阶层所面临的，包括专业团体、研究团体、公司和政府。 在这个项目中，为了解决存储和访问大数据的挑战，计划研究新的、有效的方法，使用一种有前途的技术，称为叠瓦磁记录 (SMR)，在磁盘驱动器（称为叠瓦写磁盘）中存储大量数据。 ）。 基于 SMR 的驱动器是一项很有前途的技术，可以满足大数据的存储需求。由于 SMR 的优势来自于写入期间的重叠磁道，因此研究新颖的用途以减少执行数据更新时潜在的写入放大非常重要。 该项目计划开发新颖的布局设计（可以减少写入放大）和专用文件系统（使应用程序无需任何修改即可使用此类设备），以及有效支持 SMR 驱动器上基于树和图形的数据结构的新颖方法适用于许多大数据相关的应用程序。 这项工作的成功完成将为大数据的需求提供一种新型的存储设备。