Application-Cooperated Memory and Disk Energy Management for Multi-Threaded Data Servers on Multi-Processor Architectures

多处理器架构上多线程数据服务器的应用程序协作内存和磁盘能源管理

• 批准号: 0541188
• 负责人: Yuanyuan Zhou
• 金额: $ 15万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-03-15 至 2010-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0541188&HistoricalAwards=false
• 关键词: Application; Cooperated; Memory; Disk; Energy

Energy efficiency in data centers has a broad impact including cost savings and environmental benefits. The project investigates techniques for improving the energy efficiency in high-end data server environments. Specific focus is on the disk and memory subsystem running multithreaded database applications on multiprocessor architectures. Multiprocessor phase characterization and prediction being investigated will also impact performance issues in multiprocessor software. The research extends the current focus beyond sequential applications on uniprocessor architectures, models the effects of DMA and network memory accesses, studies application cooperation strategies for energy savings, and employs more realistic evaluation methodologies.

数据中心的能效具有广泛的影响，包括成本节约和环境效益。该项目研究在高端数据服务器环境中提高能效的技术。重点介绍在多处理器体系结构上运行多线程数据库应用程序的磁盘和内存子系统。正在研究的多处理器阶段特征和预测也将影响多处理器软件的性能问题。该研究将当前的重点扩展到单处理器体系结构上的顺序应用程序，对DMA和网络内存访问的影响进行建模，研究应用程序协作策略以节省能源，并采用更现实的评估方法。