CSR: Medium: Collaborative Research: On Closed-Loop and Cross-Layer Design and Implementation of Data Storage Systems Utilizing Extremely Scaled NAND Flash Memory Technologies

CSR：中：协作研究：利用超大规模 NAND 闪存技术的数据存储系统的闭环和跨层设计与实现

• 批准号: 1162165
• 负责人: Xiaodong Zhang
• 金额: $ 22.5万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1162165&HistoricalAwards=false
• 关键词: CSR; Medium; Collaborative; Research; Closed

This project is developing efficient solid-state data storage device and system design solutions. Although solid-state data storage has shown a high potential to significantly advance storage systems to achieve ultra-high performance with low energy consumption, continuous semiconductor technology scaling makes it increasingly challenging to realize efficient and reliable solid-state data storage devices and systems for the storage hierarchy in large-scale systems, such as data centers and cloud systems. The intellectual merit of this proposal lies in the theme of developing solid-state data storage design techniques from both software and hardware. Major solid-state data storage device architecture functions, including error correction coding, wear-leveling and garbage collection algorithms, are being developed. Workload and device-aware solid-state data storage system design solutions are also being developed for large data center applications. Design solutions will be evaluated using an experimental hardware platform and the Linux operating system. The broader impact of the proposed research is that it will enable the development of highly reliable and low-cost solid-state data storage devices and systems for large-scale computing and storage systems. The adoption of the design methodology by solid-state data storage architects, system designers, and data-intensive practitioners may provide a direct benefit to this strategically important high technology sector critical to the economic health of the nation. This team will also introduce new research results into courses.

该项目是开发高效的固态数据存储设备和系统设计解决方案。尽管固态数据存储已经显示出显著推进存储系统以实现具有低能耗的超高性能的高潜力，但是持续的半导体技术缩放使得实现用于大规模系统（诸如数据中心和云系统）中的存储层级的高效且可靠的固态数据存储设备和系统变得越来越具有挑战性。 该建议的智力价值在于从软件和硬件两方面开发固态数据存储设计技术的主题。主要的固态数据存储设备架构功能，包括纠错编码，损耗均衡和垃圾收集算法，正在开发中。此外，还在为大型数据中心应用开发可感知和设备感知的固态数据存储系统设计解决方案。设计解决方案将使用实验硬件平台和Linux操作系统进行评估。拟议研究的更广泛影响是，它将能够开发高可靠性和低成本的固态数据存储设备和系统，用于大规模计算和存储系统。固态数据存储架构师、系统设计师和数据密集型从业者采用这种设计方法，可能会为这个对国家经济健康至关重要的战略性高科技部门带来直接利益。该团队还将在课程中引入新的研究成果。