EAGER: Energy-Efficient Transaction Processing

EAGER：节能交易处理

• 批准号: 1050301
• 负责人: Panos Chrysanthis
• 金额: $ 20万
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1050301&HistoricalAwards=false
• 关键词: EAGER; Energy; Efficient; Transaction; Processing

Compared to early Transaction Processing (TP) systems, today's TP systems have seen dramatic changes in both application requirements and underlying hardware support. As such, existing algorithms and design decisions hardly reflect reality and require revisiting them. However, more importantly, future generation TP systems must also necessarily evolve because of the emergence of energy efficiency as a first order design consideration.This project is an early venture into a very new area, seeking to identify the most appropriate metrics for energy efficiency (QoE) in TP environments, the most appropriate ways to combine these energy efficiency metrics with existing quality of service (QoS) metrics and the most appropriate ways to specify any trade-off between QoE and QoS. Project plans also include the development of new scheduling algorithms and new TP system components that optimize a particular metric under different hardware configurations, as well as the experimental evaluation of the developed algorithms on simulation platforms and on real, state-of-the-art hardware.This exploration potentially has great impacts in the development of new data management technologies. It is expected to advance the knowledge and understanding of the interplay among modern hardware components and facilitate the development of next generation TP systems that exploit new hardware features with the potential to achieve significant energy savings. This understanding could help formulate the foundations of the important area of energy-efficient data management, and thus, contribute to the societal goal of energy conservation and sustainability.More information on the project can be found at http://www.energy-efficient-data-management.org/tps.

与早期的事务处理（TP）系统相比，今天的TP系统在应用需求和底层硬件支持方面都发生了巨大的变化。因此，现有的算法和设计决策很难反映现实，需要重新审视它们。然而，更重要的是，未来一代TP系统也必须发展，因为能源效率的出现作为一个首要的设计考虑因素。该项目是一个非常新的领域的早期冒险，寻求确定TP环境中最合适的能源效率（QoE）指标，将这些能量效率度量与现有的服务质量（QoS）度量相结合的最适当的方式，以及指定QoE和QoS之间的任何折衷的最适当的方式。项目计划还包括开发新的调度算法和新的TP系统组件，以优化不同硬件配置下的特定指标，以及在仿真平台和真实的最先进的硬件上对开发的算法进行实验评估。这种探索可能对新数据管理技术的开发产生重大影响。预计将推进现代硬件组件之间相互作用的知识和理解，并促进下一代TP系统的开发，这些系统利用新的硬件功能，有可能实现显着的节能。这种理解有助于为节能数据管理这一重要领域奠定基础，从而有助于实现节能和可持续发展的社会目标。有关该项目的更多信息，请访问http://www.energy-efficient-data-management.org/tps。