CSR---PDOS: A Holistic Framework for Power and Performance Control in Data Centers

CSR---PDOS：数据中心电源和性能控制的整体框架

• 批准号: 0720663
• 负责人: Xiaorui Wang
• 金额: --
• 依托单位: University of Tennessee Knoxville
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0720663&HistoricalAwards=false
• 关键词: CSR; PDOS; Holistic; Framework; Power

Recent years have seen a rapid growth of enterprise data centers that host thousands of high-density blade servers and provide outsourced commercial IT services. There are two key challenges for effectively operating a modern data center. First, different customers have to be assured by meeting their required service-level agreements (SLAs) such as response time and throughput. Second, power consumption has to be controlled in order to reduce operation costs, and avoid failures caused by power capacity overload or system overheating due to increasing high-density.This project aims to develop a holistic management framework which controls power consumption and required application-level SLAs simultaneously with theoretical guarantees on both. This cross-layered framework features a constrained multi-input-multi-output control model to manage multiple blade servers at the cluster level. In sharp contrast to traditional solutions that rely on heuristic-based management schemes, this research adopts a rigorous design methodology that is based on a control-theoretic foundation for systematically developing control strategies, with analytic assurance of control accuracy and system stability. This project also develops decentralized control algorithms for large-scale application services running on a large number of servers in a data center. In addition, related challenges such as system controllability guarantee and thermal management will be addressed.

近年来，企业数据中心迅速增长，该中心托管了数千个高密度刀片服务器并提供外包商业IT服务。 有效运营现代数据中心有两个关键挑战。 首先，必须通过满足所需的服务级协议（SLA）（例如响应时间和吞吐量）来确保不同的客户。 其次，必须控制功耗以降低运营成本，并避免由于高密度增加而导致功率超负荷或系统过热引起的故障。该项目旨在开发一个整体管理框架，该框架控制功耗并同时同时使用两者的理论保证。 这个跨层的框架具有约束的多输入 - 摩尔蒂输出控制模型，可在集群级别管理多个刀片服务器。 与依靠基于启发式管理方案的传统解决方案形成鲜明对比的是，这项研究采用了一种严格的设计方法，该方法基于控制控制策略的控制理论基础，并对控制准确性和系统稳定性进行了分析保证。 该项目还开发了分散的控制算法，用于在数据中心中大量服务器上运行的大规模应用程序服务。 此外，将解决相关挑战，例如系统可控性保证和热管理。