File, Database and I/O Systems Performance

文件、数据库和 I/O 系统性能

• 批准号: 9117028
• 负责人: Alan Smith
• 金额: $ 17.45万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-03-15 至 1997-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9117028&HistoricalAwards=false
• 关键词: File; Database; Systems; Performance

There are two technology trends strongly impacting the design and performance of I/O systems. First, processor power, especially for single (or few) chip designs, is increasing very rapidly, leading to: (a) (almost) corresponding increases in I/O load, (b) distributed systems with workstations (w/wo local disks), file servers and computation nodes, and (c) multiprocessors with enormous cost/performance advantages over uniprocessors providing the same aggregate performance. Second, disk storage densities are increasing rapidly without any comparable increase in disk performance. A number of design and optimization problems have become extremely important due to these trends: (a) Systems are becoming increasingly susceptible to I/O bottlenecks due to increasing I/O rates and the less quickly in creasing ability of the I/O system to respond to them. (b) Multiprocessor systems with shared I/O devices and/or databases are increasingly susceptible to I/O bottlenecks in referencing, locking and updating shared data. This project continues research on a number of topics relating to file, I/O and database system performance. These include: (a) Development and analysis of algorithms for disk caching in distributed and hierarchical systems, taking into account both consistency and performance. (b) Studies of the effect of disk caching in conjunction with disk striping and log structured file systems. (c) Analysis and development of locking algorithms for shared, distributed database systems. (d) Design, optimization and implementation of hierarchical and distributed file migration in a very large mass storage systems using optical disks to be built at UC Berkeley. The work relies heavily on actual system measurement and trace driven simulation.

有两种技术趋势对 I/O 系统的设计和性能产生强烈影响。 首先，处理器能力，特别是对于单（或少数）芯片设计而言，正在快速增长，导致：（a）（几乎）I/O 负载相应增加，（b）具有工作站的分布式系统（无本地磁盘） ）、文件服务器和计算节点，以及（c）多处理器，与提供相同总体性能的单处理器相比，具有巨大的成本/性能优势。 其次，磁盘存储密度正在迅速增加，但磁盘性能却没有任何类似的提高。 由于这些趋势，许多设计和优化问题变得极其重要： (a) 由于 I/O 速率不断增加以及 I/O 系统提高 I/O 能力的速度越来越慢，系统变得越来越容易受到 I/O 瓶颈的影响。回应他们。 (b) 具有共享 I/O 设备和/或数据库的多处理器系统越来越容易受到引用、锁定和更新共享数据的 I/O 瓶颈的影响。 该项目继续研究与文件、I/O 和数据库系统性能相关的多个主题。 其中包括： (a) 开发和分析分布式和分层系统中的磁盘缓存算法，同时考虑到一致性和性能。 (b) 研究磁盘缓存与磁盘条带化和日志结构化文件系统相结合的效果。 (c) 共享、分布式数据库系统的锁定算法的分析和开发。 (d) 在使用加州大学伯克利分校建造的光盘的超大型海量存储系统中设计、优化和实现分层和分布式文件迁移。 这项工作很大程度上依赖于实际系统测量和跟踪驱动的仿真。