Collaborative Research: Algorithms Design and Systems Implementation to Improve Buffer Management for Fast I/O Data Accesses

协作研究：改进快速 I/O 数据访问的缓冲区管理的算法设计和系统实现

• 批准号: 0702380
• 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: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-06-01 至 2011-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0702380&HistoricalAwards=false
• 关键词: Collaborative; Research; Algorithms; Design; Systems

Although processor cycles, memory size, and disk capacity all become increasingly abundant, there is still a serious deficiency in the system support for handling data-intensive applications, which is the long latency of hard disk accesses, measured by the time to get the first byte of requested data. This latency improvement has significantly lagged behind other system component improvement, including disk peak bandwidth. To address this critical issue, the investigators will develop new and efficient buffer cache management systems that adapt to the dramatic technology changes and the high demand of data-intensive applications with complicated access patterns. Aiming at making the memory buffer as a truly effective agent between the requests from applications and services provided by disks, the investigators will leverage the cache and prefetch mechanisms in the memory buffer to improve effective I/O system performance, perceived by applications, by minimizing the cost (both energy and time) of expensive disk accesses. A unique approach to be adopted in the research is to put the disk layout information directly on the map of buffer management and effectively integrate both temporal and spatial localities. The investigators will design and implement a system infrastructure that analyzes and exploits data layout information on disks. With this critical system support, the investigators will further design and implement dual-side-aware memory buffer management algorithms that adapt to characteristics exhibited at both programs' side and disks' side.

虽然处理器周期、内存大小和磁盘容量都变得越来越丰富，但在处理数据密集型应用程序的系统支持方面仍然存在严重不足，这就是硬盘访问的长延迟，以获得所请求数据的第一个字节的时间来衡量。这种延迟的改善明显落后于其他系统组件的改善，包括磁盘峰值带宽。为了解决这一关键问题，研究人员将开发新的高效的缓冲区缓存管理系统，以适应技术的巨大变化和具有复杂访问模式的数据密集型应用程序的高需求。 为了使内存缓冲区成为应用程序请求和磁盘服务之间真正有效的代理，研究人员将利用内存缓冲区中的该高速缓存和预取机制，通过最小化昂贵磁盘访问的成本（能量和时间）来提高应用程序感知的有效I/O系统性能。将磁盘布局信息直接放在缓冲区管理图上，有效地整合了时间和空间位置，是本研究的一个独特之处。研究人员将设计和实现一个系统基础设施，分析和利用磁盘上的数据布局信息。有了这个关键的系统支持，研究人员将进一步设计和实现双面感知的内存缓冲区管理算法，以适应程序端和磁盘端的特点。