robust control-theoretic thermal balancing for server clusters | |
Fu Yong ; Lu Chenyang ; Wang Hongan | |
2010 | |
会议名称 | 24th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2010 |
会议日期 | April 19, |
会议地点 | Atlanta, GA, United states |
关键词 | Computer architecture Difference equations Distributed parameter networks Dynamic loads Electric power utilization Feedback control Fluidized bed combustion Hand held computers Program processors Robust control Uncertainty analysis |
页码 | - |
英文摘要 | Thermal management is critical for clusters because of the increasing power consumption of modern processors, compact server architectures and growing server density in data centers. Thermal balancing mitigates hot spots in a cluster through dynamic load distribution among servers. This paper presents two Control-theoretical Thermal Balancing (CTB) algorithms that dynamically balance the temperatures of different servers based on online measurements. CTB features controllers rigorously designed based on optimal control theory and a difference equation model that approximates the thermal dynamics of clusters. Control analysis and simulation results demonstrate that CTB achieves robust thermal balancing under a wide range of uncertainties: (1) when different tasks incur different power consumptions on the CPUs, (2) when servers experience different ambient temperatures, and (3) when servers experience thermal faults. © 2010 IEEE. |
收录类别 | EI |
会议录 | Proceedings of the 2010 IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2010
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会议录出版地 | United States |
ISBN号 | 9781420000000 |
内容类型 | 会议论文 |
源URL | [http://124.16.136.157/handle/311060/8894] ![]() |
专题 | 软件研究所_人机交互技术与智能信息处理实验室_会议论文 |
推荐引用方式 GB/T 7714 | Fu Yong,Lu Chenyang,Wang Hongan. robust control-theoretic thermal balancing for server clusters[C]. 见:24th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2010. Atlanta, GA, United states. April 19,. |
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