Basic Research for Developing SSD-based Caching and Hybrid Storage Systems

开发基于SSD的缓存和混合存储系统的基础研究

• 批准号: 0913150
• 负责人: Xiaodong Zhang
• 金额: --
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0913150&HistoricalAwards=false
• 关键词: Basic; Research; Developing; SSD; based

This project addresses several basic research issues related to solid state device (SSD) based flash memory to lay out a foundation and technical basis for efficiently integrating SSDs into the storage hierarchy. The research will be done in a sequence of three steps. First, the PI will conduct intensive experiments and measurements on different types of state-of-the-art SSDs, from low-end to high-end devices aiming at providing insights into unexpected performance dynamics and uncertain behavior. Second, the investgation will collect and place dynamic information of applications, SSDs, and hard disks, including data access patterns and their localities, onto the map of operating systems, and consider their inherent features (both merits and limits) for systems design and implementation. A set of caching algorithms and storage management policies will be designed. Finally, implemention, testing, and evaluation of a hybrid storage prototype will be done by using the profiled and monitored information and developed algorithms.The broader and transformative impact of the project can be significant: (1) It can provide critical guidance to system designers and data-intensive application users; (2) The research can provide technical solutions to narrow the speed gap between CPU operations and storage accesses;(3) The developed techniques and source code will be available online for other researchers; and (4) The research will facilitate undergraduate and graduate student traing to prepare future computer science talents in academia and industries.

该项目解决了与基于固态器件（SSD）的闪存相关的几个基础研究问题，为将SSD有效地集成到存储层次结构中奠定了基础和技术基础。该研究将分三个步骤进行。首先，PI将对不同类型的最先进SSD（从低端到高端设备）进行密集的实验和测量，旨在提供对意外性能动态和不确定行为的洞察。其次，调查将收集应用程序、SSD 和硬盘的动态信息，包括数据访问模式及其位置，并将其放置到操作系统地图上，并考虑其固有特征（优点和局限性）以进行系统设计和实现。将设计一套缓存算法和存储管理策略。最后，将利用分析和监控的信息以及开发的算法来实现混合存储原型的实施、测试和评估。该项目的更广泛和变革性影响可能是重大的：（1）它可以为系统设计者和数据密集型应用程序用户提供关键指导； （2）该研究可以提供技术解决方案，以缩小CPU运算和存储访问之间的速度差距；（3）所开发的技术和源代码将可供其他研究人员在线获取； （4）该研究将促进本科生和研究生的培养，为学术界和工业界培养未来的计算机科学人才。