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Issue No.08 - Aug. (2013 vol.24)
pp: 1577-1588
Xiaodong Wang , The Ohio State University, Columbus
Xiaorui Wang , The Ohio State University, Columbus
Guoliang Xing , Michigan State University, East Lansing
Jinzhu Chen , Michigan State University, East Lansing
Cheng-Xian Lin , Florida International University, Miami
Yixin Chen , Washington University in St Louis, St Louis
ABSTRACT
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. 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. 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.
INDEX TERMS
Servers, Computational fluid dynamics, Monitoring, Temperature sensors, Temperature measurement, Wireless sensor networks, computational fluid dynamics, Servers, Computational fluid dynamics, Monitoring, Temperature sensors, Temperature measurement, Wireless sensor networks, power management, Data centers, servers, sensor placement, thermal monitoring
CITATION
Xiaodong Wang, Xiaorui Wang, Guoliang Xing, Jinzhu Chen, Cheng-Xian Lin, Yixin Chen, "Intelligent Sensor Placement for Hot Server Detection in Data Centers", IEEE Transactions on Parallel & Distributed Systems, vol.24, no. 8, pp. 1577-1588, Aug. 2013, doi:10.1109/TPDS.2012.254
REFERENCES
[1] "United States Environmental Protection Agency. Report to Congress on Server and Data Center Energy Efficiency," http://www.energystar.gov/ia/partners/prod_development/ downloadsEPA_Datacenter_Report_Congress_Final1.pdf , 2007.
[2] Z. Wang, A. McReynolds, C. Felix, C. Bash, C. Hoover, M. Beitelmal, and R. Shih, "Kratos: Automated Management of Cooling Capacity in Data Centers with Adaptive Vent Tiles," Proc. ASME Conf., vol. 2009, no. 43833,http://link.aip.org/link/abstract/ASMECP/ v2009/i43833/p269s1, pp. 269-278, 2009.
[3] C. Bash, C. Patel, and R. Sharma, "Dynamic Thermal Management of Air Cooled Data Centers," Proc. 10th Intersoc. Conf. Thermal and Thermomechanical Phenomena in Electronics Systems (ITHERM '06), 2006.
[4] C. Bash and G. Forman, "Cool Job Allocation: Measuring the Power Savings of Placing Jobs at Cooling-Efficient Locations in the Data Center," Proc. USENIX Ann. Technical Conf., 2007.
[5] J. Moore, J. Chase, P. Ranganathan, and R. Sharma, "Making Scheduling "Cool": Temperature-Aware Workload Placement in Data Centers," Proc. USENIX Conf., 2005.
[6] L. Stapleton, "Getting Smart about Data Center Cooling," http://www.hpl.hp.com/news/2006/oct-decpower.html , 2006.
[7] J.S. Adve, P. Bose, and J. Rivers, "Lifetime Reliability: Toward an Architectural Solution," IEEE Micro, vol. 25, no. 3, pp. 70-80, May/June 2005.
[8] J.S. Adve, P. Bose, and J. Rivers, "The Case for Lifetime Reliability-Aware Microprocessors," Proc. 31st Ann. Int'l Symp. Computer Architecture, 2004.
[9] "Wikipedia Technical Blog," http:/techblog.wikimedia.org/, 2010.
[10] C.-J.M. Liang, J. Liu, L. Luo, A. Terzis, and F. Zhao, "RACNet: A High-Fidelity Data Center Sensing Network," Proc. Seventh ACM Conf. Embedded Networked Sensor Systems, 2009.
[11] Z. Yuan, R. Tan, G. Xing, C. Lu, Y. Chen, and J. Wang, "Fast Sensor Placement Algorithms for Fusion-Based Target Detection," Proc. Real-Time Systems Symp., 2008.
[12] X. Chang, R. Tan, G. Xing, Z. Yuan, C. Lu, Y. Chen, and Y. Yang, "Sensor Placement Algorithms for Fusion-Based Surveillance Networks," IEEE Trans. Parallel and Distributed Systems, vol. 22, no. 8, pp. 1407-1414, Aug. 2011.
[13] X. Wang, X. Wang, X. Fu, G. Xing, and N. Jha, "Flow-Based Real-Time Communication in Multi-Channel Wireless Sensor Networks," Proc. European Conf. Wireless Sensor Networks, 2009.
[14] X. Wang, X. Wang, G. Xing, and Y. Yao, "Exploiting Overlapping Channels for Minimum Power Configuration in Real-Time Sensor Networks," Proc. European Conf. Wireless Sensor Networks, 2010.
[15] A.J. Shah, V.P. Carey, C.E. Bash, and C.D. Patel, "Exergy-Based Optimization Strategies for Multi-Component Data Center Thermal Management: Part I—Analysis," Proc. Pacific Rim/ASME Int'l Electronic Packaging Technical Conf. Exhibition, 2005.
[16] A.J. Shah, V.P. Carey, C.E. Bash, and C.D. Patel, "Exergy-Based Optimization Strategies for Multi-Component Data Center Thermal Management: Part II—Application," Proc. Pacific Rim/ASME Int'l Electronic Packaging Technical Conf. Exhibition, 2005.
[17] J. Moore and J.S. Chase, "Weatherman: Automated, Online, and Predictive Thermal Mapping and Management for Data Centers," Proc. IEEE Int'l Conf. Autonomic Computing, 2006.
[18] L. Li, C.-J.M. Liang, J. Liu, S. Nath, A. Terzis, and C. Faloutsos, "Thermocast: A Cyber-Physical Forecasting Model for Datacenters," Proc. 17th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, 2011.
[19] C.D. Patel, C.E. Bash, C. Belady, L. Stahl, and D. Sullivan, "Computational Fluid Dynamics Modeling of High Compute Density Data Centers to Assure System Inlet air Specifications," Proc. Pacific Rim/ASME Int'l Electronic Packaging Technical Conf. Exhibition, 2001.
[20] C.D. Patel and A.J. Shah, "Cost Model for Planning, Development and Operation of a Data Center," technical report, HP Lab., 2005.
[21] J. Choi, Y. Kim, A. Sivasubramaniam, J. Srebric, Q. Wang, and J. Lee, "Modeling and Managing Thermal Profiles of Rack-Mounted Servers with Thermostat," Proc. IEEE 13th Int'l Symp. High Performance Computer Architecture, 2007.
[22] A. Krause, C. Guestrin, A. Gupta, and J. Kleinberg, "Near-Optimal Sensor Placements: Maximizing Information while Minimizing Communication Cost," Proc. Fifth Int'l Conf. Information Processing in Sensor Networks, 2006.
[23] P.K. Varshney, Distributed Detection and Data Fusion. Springer-Verlag, 1996.
[24] T. Clouqueur, K.K. Saluja, and P. Ramanathan, "Fault Tolerance in Collaborative Sensor Networks for Target Detection," IEEE Trans. Computers, vol. 53, no. 3, pp. 320-333, Mar. 2003.
[25] T. Clouqueur, V. Phipatanasuphorn, P. Ramanathan, and K.K. Saluja, "Sensor Deployment Strategy for Target Detection," Proc. ACM Int'l Workshop Wireless Sensor Networks and Applications, 2002.
[26] W. Feller, An Introduction to Probability Theory and Its Applications. John Wiley & Sons, 1968.
[27] "Crossbow Technology, Telosb Mote," http://www.xbow.com/Productsproductdetails.aspx?sid=252 , 2013.
[28] "CFD Flow Modeling Software and Solutions from Fluent," http:/www.fluent.com, 2013.
[29] B.W. Wah, Y. Chen, and T. Wang, "Simulated Annealing with Asymptotic Convergence for Nonlinear Constrained Optimization," J. Global Optimization, vol. 39, no. 1, pp. 1-37, 2007.
[30] E.H. Isaaks and R.M. Srivastava, An Introduction to Applied Geostatistics. Oxford Univ. Press, 1989.
[31] "Cole-Palmer: Scientific Instruments and Lab Supplies," http://www.coleparmer.comindex.asp, 2013.
[32] F. Ahmad and T.N. Vijaykumar, "Joint Optimization of Idle and Cooling Power in Data Centers while Maintaining Response Time," Proc. ASPLOS Architectural Support for Programming Languages and Operating Systems, 2010.
[33] W. Abdelmaksoud, H.E. Khalifa, T. Dang, R. Schmidt, and M. Iyengar, ITherm, 2010.
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