By a News Reporter-Staff News Editor at Computer Weekly News -- Fresh data on Parallel and Distributed Computing are presented in a new report. According to news reporting originating from St. Louis, Missouri, by VerticalNews correspondents, research stated, "Recent studies have shown that a significant portion of the total energy consumption of many data centers is caused by the inefficient operation of their cooling systems. Without effective thermal monitoring with accurate location information, the cooling systems often use unnecessarily low temperature set points to overcool the entire room, resulting in excessive energy consumption."
Our news editors obtained a quote from the research from Washington University, "Sensor network technology has recently been adopted for data-center thermal monitoring because of its nonintrusive nature for the already complex data center facilities and robustness to instantaneous CPU or disk activities. However, existing solutions place sensors in a simplistic way without considering the thermal dynamics in data centers, resulting in unnecessarily degraded hot server detection probability. In this paper, we first formulate the problems of sensor placement for hot server detection in a data center as constrained optimization problems in two different scenarios. We then propose a novel placement scheme based on computational fluid dynamics (CFD) to take various factors, such as cooling systems and server layout, as inputs to analyze the thermal conditions of the data center. Based on the CFD analysis in various server overheating scenarios, we apply data fusion and advanced optimization techniques to find a near-optimal sensor placement solution, such that the probability of detecting hot servers is significantly improved. Our empirical results in a real server room demonstrate the detection performance of our placement solution."
According to the news editors, the research concluded: "Extensive simulation results in a large-scale data center with 32 racks also show that the proposed solution outperforms several commonly used placement solutions in terms of detection probability."
For more information on this research see: Intelligent Sensor Placement for Hot Server Detection in Data Centers. IEEE Transactions on Parallel and Distributed Systems, 2013;24(8):1577-1588. IEEE Transactions on Parallel and Distributed Systems can be contacted at: Ieee Computer Soc, 10662 Los Vaqueros Circle, PO Box 3014, Los Alamitos, CA 90720-1314, USA. (Institute of Electrical and Electronics Engineers - www.ieee.org/; IEEE Transactions on Parallel and Distributed Systems - ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=71)
The news editors report that additional information may be obtained by contacting X.D. Wang, Washington University, St Louis, MO 63130, United States. Additional authors for this research include X.R. Wang, G.L. Xing, J.Z. Chen, C.X. Lin and Y.X. Chen.
Keywords for this news article include: Missouri, St. Louis, United States, North and Central America, Parallel and Distributed Computing
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