III: Medium: Energy-Efficient Data Processing

运营大型服务器群的能源成本现在占其总拥有成本的相当大一部分。ecoDB项目的重点是为数据密集型应用程序设计、开发和评估提高此类服务器群能源效率的方法。ecoDB将调查一系列问题，包括“全局”问题，将整个服务器群视为一个整体的单个大型计算系统，并使用能量感知工作负载管理和数据放置策略。这些全局技术将在各种现有的分布式系统中实现，包括Condor系统。在频谱的另一端，该提案计划研究“本地”技术，这些技术可以通过协同利用底层硬件和/或软件特性来提高单个服务器的能源效率。ecoDB项目的一个关键方面是侧重于有系统地以性能换取能源效率的技术，基本上将“能源消耗”作为数据处理系统中的一流度量标准。这种方法的影响渗透到数据处理系统的各个方面，从查询/工作负载优化和评估到大规模并行和分布式数据处理系统中的复制管理和作业调度。这个项目还将促进在节能数据处理方法这一新兴领域培训研究生。这一提议的更广泛影响还包括通过生产可能减少数据中心能源消耗的技术来造福社会，从而对环境和经济产生有益的影响。本项目由保监处CF21创业基金提供部分资助，以促进数码基建元素的再用。欲了解更多信息，请访问：http://pages.cs.wisc.edu/~jignesh/ecodb/

The energy cost of operating large server farms is now a sizable portion of their total-cost-of-ownership. The focus of the ecoDB project is to design, develop and evaluate methods that improve the energy efficiency of such server farms for data-intensive applications. ecoDB will investigate a range of issues, including "global" issues that considers the entire server farm as a holistic single large computing system and uses energy-aware workload management and data placement strategies. These global techniques will be implemented in various existing distributed systems, including the Condor system. At the other end of the spectrum, this proposal plans to investigate "local" techniques that can be used to improve the energy efficiency of an individual server by synergistically exploiting the underlying hardware and/or software characteristics. A crucial aspect of the ecoDB project is to focus on techniques that systematically trade performance for energy efficiency, essentially treating "energy consumption" as a first-class metric in data processing systems. The repercussions of this approach percolate through various aspects of a data processing systems ranging from query/workload optimization and evaluation to replication management and job scheduling in large-scale parallel and distributed data processing systems.This project will also facilitate the training of graduate students in the emerging area of energy-efficient data processing methods. The broader impacts of this proposal also include benefits to society by producing techniques that can potentially reduce the energy consumption of data centers, which in turn has beneficial environmental and economical effects. This project is partially funded by the OCI CF21 Venture Fund for promoting the reuse of Cyberinfrastructure (CI) elements. For further information, please see: http://pages.cs.wisc.edu/~jignesh/ecodb/