CAREER: Coordinated Power and Thermal Management for Virtualized Data Centers: Algorithms, Framework, and Middleware

职业：虚拟化数据中心的协调电源和热管理：算法、框架和中间件

• 批准号: 1143607
• 负责人: Xiaorui Wang
• 金额: $ 39.52万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-15 至 2015-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1143607&HistoricalAwards=false
• 关键词: CAREER; Coordinated; Power; Thermal; Management

In recent years, power and thermal control has become one of the most serious concerns for large-scale data centers that are rapidly expanding the number of hosted servers. In addition to reducing operating costs, precisely controlling power consumption and heat dissipation is an essential way to avoid system failures caused by power capacity overload or overheating due to increasingly high server density (e.g., blade servers). Power and thermal control becomes even more challenging as many data centers start to adopt the virtualization technology for resource sharing, leading to increased utilization and power consumption. This CAREER project addresses the following research topics. 1) We plan to design and evaluate advanced power and thermal control algorithms, based on feedback control theory, to achieve analytic assurance of control accuracy and system stability. First, we propose novel control algorithms at multiple layers to control power and application performance for virtualized server environments. Second, we propose highly scalable hierarchical algorithms to control the power consumption of an entire large-scale data center. Third, we will design cascaded control algorithms to control heat dissipation and handle thermal emergencies by coordinating with power control loops. 2) We propose power and thermal control middleware. Our middleware will find the optimal coordination strategy for multiple control loops to work together at different layers, and then configure them to achieve the desired control functions. In addition, our middleware can automate the procedure of controller design and analysis for a universal control solution. 3) We will also investigate other components such as hard drives and network switches, as well as the controllability and feasibility problems, in order to provide a complete power and thermal control framework for today's large-scale data centers.

近年来，功率和热控制已成为迅速扩大托管服务器数量的大规模数据中心最严重的关注之一。除了降低运营成本外，精确控制功耗和输热耗散是避免由于服务器密度越来越高（例如，刀片服务器）引起的电源能力超载或过热导致的系统故障的必要方法。随着许多数据中心开始采用虚拟化技术进行资源共享，功率和热控制变得更加具有挑战性，从而导致利用率和功耗增加。该职业项目涉及以下研究主题。 1）我们计划基于反馈控制理论设计和评估先进的功率和热控制算法，以实现控制精度和系统稳定性的分析保证。首先，我们建议在多层上提出新颖的控制算法，以控制虚拟化服务器环境的电源和应用程序性能。其次，我们提出了高度可扩展的分层算法来控制整个大型数据中心的功耗。第三，我们将设计级联的控制算法，以通过与功率控制回路协调来控制热量耗散并处理热紧急情况。 2）我们提出了电力和热控制中间件。我们的中间软件将找到最佳的协调策略，以使多个控制循环在不同层一起工作，然后配置它们以实现所需的控制功能。此外，我们的中间件可以自动化通用控制解决方案的控制器设计和分析过程。 3）我们还将研究其他组件，例如硬盘驱动器和网络开关，以及可控性和可行性问题，以便为当今的大型数据中心提供完整的功率和热控制框架。