Scalable infrastructure for next generation data management systems

下一代数据管理系统的可扩展基础架构

• 批准号: 539431-2019
• 负责人: Brown, Trevor
• 金额: $ 5.77万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=692081
• 关键词: Scalable; infrastructure; next; generation; data

The next generation of data management systems will be powered by large scale multicore systems with non-volatile random access memory (NVRAM). Such systems promise unparalleled performance, but are difficult to program because of their highly non-uniform memory architectures (NUMAs). Classical solutions that ignore NUMA issues perform extremely poorly on such systems, so NUMA-aware solutions are needed. Furthermore, NVRAM has not been integrated into system software, and expert knowledge is needed to utilize it effectively. The primary objective of the proposed research is to provide the core data structures and software necessary to drive next-generation data management systems. More specifically, they plan to develop new solutions to classical computational problems, redesign software to exploit the power of NVRAM, and craft new abstractions to expose NVRAM and other unique architectural features to programmers.

下一代数据管理系统将由具有非易失性随机存取存储器（NVRAM）的大规模多核系统提供动力。这样的系统承诺无与伦比的性能，但由于其高度非均匀的存储器架构（NUMA）而难以编程。忽略NUMA问题的传统解决方案在此类系统上的性能极差，因此需要NUMA感知解决方案。此外，NVRAM尚未集成到系统软件中，需要专业知识才能有效利用它。拟议研究的主要目标是提供驱动下一代数据管理系统所需的核心数据结构和软件。更具体地说，他们计划为经典计算问题开发新的解决方案，重新设计软件以利用NVRAM的功能，并制作新的抽象以向程序员展示NVRAM和其他独特的架构功能。