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，承载数千台高密度刀片服务器并提供外包商业IT服务的企业数据中心快速增长。有效地运营现代数据中心有两个关键挑战。首先，必须确保满足不同客户所需的服务水平协议（sla），例如响应时间和吞吐量。其次，为了降低运行成本，必须控制功耗，避免由于高密度增加而导致功率容量过载或系统过热而导致故障。该项目旨在开发一个整体管理框架，同时控制功耗和所需的应用级sla，并在两者上提供理论保证。这个跨层框架的特点是一个受约束的多输入-多输出控制模型，用于在集群级别管理多个刀片服务器。与传统解决方案依赖启发式管理方案形成鲜明对比的是，本研究采用严格的设计方法，以控制理论为基础，系统地制定控制策略，分析保证控制精度和系统稳定性。该项目还为运行在数据中心大量服务器上的大规模应用服务开发分散式控制算法。此外，还将解决系统可控性保证和热管理等相关挑战。