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

数据中心的能源效率具有广泛的影响，包括成本节约和环境效益。该项目研究提高高端数据服务器环境能源效率的技术。特别关注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相位表征和预测也将影响多处理器软件的性能问题。 该研究扩展了目前的重点超越单处理器架构上的顺序应用程序，模型的DMA和网络内存访问的影响，研究应用程序的节能合作策略，并采用更现实的评估方法。

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.