EAGER: Energy-Efficient Transaction Processing

与早期的事务处理（Transaction Processing， TP）系统相比，今天的TP系统在应用程序需求和底层硬件支持方面都发生了巨大变化。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，下一代TP系统也必须发展，因为能源效率作为第一阶设计考虑的出现。这个项目是进入一个非常新领域的早期尝试，旨在确定TP环境中能效（QoE）的最合适度量，将这些能效度量与现有的服务质量（QoS）度量结合起来的最合适方法，以及指定QoE和QoS之间折衷的最合适方法。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度量，以及在仿真平台和真实的最先进硬件上对开发的算法进行实验评估。这一探索可能对新的数据管理技术的发展产生重大影响。预计它将促进对现代硬件组件之间相互作用的认识和理解，并促进下一代TP系统的开发，这些系统利用新的硬件功能，具有实现显著节能的潜力。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可在http://www.energy-efficient-data-management.org/tps上找到。

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.