Abstract
As an alternative to often costly computational fluid dynamics (CFD) modelling of a data center (DC), we describe an ultra-low cost solution based on a wired sensor network. We describe the sensor hardware, packaging and cabling in detail, as well as the software components. Our prototype has been in production use for twelve months at the time of writing. This article presents detected air flow patterns that would have been difficult to discover using modelling alone, but easy to find with the measurement-based approach. We evaluate the benefits and drawbacks of our solution when compared with CFD models and existing alternatives. Key features of our approach are its accuracy, ease of deployment, and low purchase, construction, and operating costs.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Barroso, L.A., Hölzle, U.: The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines. Synthesis Lectures on Computer Architecture 4(1), 1–108 (2009)
Bash, C.E., Patel, C.D., Sharma, R.K.: Dynamic thermal management of air cooled data centers. In: The Tenth Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronics Systems, ITHERM 2006, pp. 445–452. IEEE (2006)
Bhopte, S., Sammakia, B., Schmidt, R., Iyengar, M., Agonafer, D.: Effect of Under Floor Blockages on Data Center Performance. In: Proceedings of the 10th Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronics Systems, ITHERM 2006, pp. 426–433 (2006)
Chen, K., Auslander, D.M., Bash, C.E., Patel, C.D.: Local Temperature Control in Data Center Cooling - Part I: Correlation Matrix. Tech. rep., HP Enterprise Software and Systems Laboratory, Palo Alto (2006), http://www.hpl.hp.com/techreports/2006/HPL-2006-42.pdf
Liu, J., Priyantha, B., Zhao, F., Liang, C., Wang, Q., James, S.: Towards discovering data center genome using sensor nets. In: Proceedings of the 5th Workshop on Embedded Networked Sensors, HotEmNets (2008)
Lowitt, E.M., Grimsley, J.: Hewlett-Packard: Sustainability as a Competitive Advantage (2009), http://www.hp.com/hpinfo/globalcitizenship/environment/commitment/accenturestudy.pdf
Mannas, E., Jones, S.: Add Thermal Monitoring to Reduce Data Center Energy Consumption (2009), http://www.maxim-ic.com/app-notes/index.mvp/id/4334
Mars, J., Tang, L., Hundt, R.: Heterogeneity in “Homogeneous” Warehouse-Scale Computers: A Performance Opportunity. IEEE Computer Architecture Letters 10(2), 29–32 (2011)
Pervilä, M., Kangasharju, J.: Cold air containment. In: Proceedings of the 2nd ACM SIGCOMM Workshop on Green Networking - GreenNets 2011, p. 7. ACM Press, New York (2011), http://dl.acm.org/citation.cfm?doid=2018536.2018539
Seymour, M., Aldham, C., Moezzi, H.: The Increasing Challenge of Data Center Design and Management: Is CFD a Must? (2011), http://www.electronics-cooling.com/issue/2011/11/
Vance, A.: HP fires data center robot, hires cooling sensors (2006), http://www.theregister.co.uk/2006/11/29/hp_cool/
VanGilder, J.W.: Real-Time Data Center Cooling Analysis (2011), http://www.electronics-cooling.com/2011/09/real-time-data-center-cooling-analysis/
VanGilder, J.W., Schmidt, R.R.: Airflow Uniformity Through Perforated Tiles in a Raised-Floor Data Center. In: Proceedings of IPACK 2005, pp. 493–501. ASME, San Francisco (2005)
Webb, M.: SMART 2020: Enabling the low carbon economy in the information age (2008), http://www.theclimategroup.org/publications/2008/6/19/smart2020-enabling-the-low-carbon-economy-in-the-information-age/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pervilä, M., Rantanen, M., Kangasharju, J. (2012). Implementation and Evaluation of a Wired Data Center Sensor Network. In: Huusko, J., de Meer, H., Klingert, S., Somov, A. (eds) Energy Efficient Data Centers. E2DC 2012. Lecture Notes in Computer Science, vol 7396. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33645-4_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-33645-4_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33644-7
Online ISBN: 978-3-642-33645-4
eBook Packages: Computer ScienceComputer Science (R0)