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Toward Sensing, Communications and Control Architectures for Frequency Regulation in Systems with Highly Variable Resources Read chapter Read first chapter

2012 | OriginalPaper | Chapter

Models and Control Strategies for Data Centers in the Smart Grid

Authors : Luca Parolini, Bruno Sinopoli, Bruce H. Krogh

Published in: Control and Optimization Methods for Electric Smart Grids

Publisher: Springer New York

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Abstract

This chapter discusses the challenges and the possibilities offered by controlling a data center as a node of the smart-grid. The communication between the grid and the data center takes the form of a time-varying and power-consumption-dependent electricity price. A model that considers both the computational and the physical characteristics of a data center, as well as their interactions, is proposed. Two control approaches are discussed. The first control approach does not consider the interaction between the computational and the thermal characteristics of a data center. We call such a control approach uncoordinated. The second controller considers the coupling between the computational and the thermal characteristics. We call such a control approach coordinated. Simulation results, discussed at the end of the chapter, show that the coordinated control approach can lead to larger income for data center operators than the uncoordinated approach.

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Footnotes
2
Source: The Internet Traffic Archive http://​ita.​ee.​lbl.​gov/​.
 
Literature
1.
Aydin H, Zhu D (2009) Reliability-aware energy management for periodic real-time tasks. IEEE Trans Comput 58(10):1382–1397CrossRefMathSciNet
2.
Bash CE, Patel CD, Sharma RK (2006) Dynamic thermal management of air cooled data centers. In: Proc. of the 10th Intersociety Conf. Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm), San Diego, CA, pp 445–452
3.
Breen TJ, Walsh EJ, Punch J, Shah AJ, Bash CE (2010) From chip to cooling tower data center modeling: Part I influence of server inlet temperature and temperature rise across cabinet. In: Proc. 12th IEEE Intersociety Conf. Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm), Las Vegas, NV, pp 1–10
4.
Choudhary P, Marculescu D (2009) Power management of voltage/frequency island-based systems using hardware-based methods. IEEE Trans Very Large Scale Integrat (VLSI) Syst 17(3):427–438
5.
Fan X, Weber WD, Barroso LA (2007) Power provisioning for a warehouse-sized computer. In: International Symposium on Computer Architecture, San Diego, CA, pp 13–23, June 2007
6.
Greco RA (2003) High density data centers fraught with peril. Slides, EYP Mission Critical Facilities Inc.
7.
Jin H, Deng L, Wu S, Shi X, Pan X (2009) Live virtual machine migration with adaptive, memory compression. In: Proc. IEEE Int. Conf. Cluster Computing and Workshops CLUSTER, pp 1–10
8.
Kim J, Yoo S, Kyung CM (2011) Program phase-aware dynamic voltage scaling under variable computational workload and memory stall environment. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 30(1):110–123CrossRef
9.
Ma F, Liu F, Liu Z (2010) Live virtual machine migration based on improved pre-copy approach. In: Proc. IEEE Int Software Engineering and Service Sciences (ICSESS) Conf, Beijing, pp 230–233
10.
Moore J, Chase J, Ranganathan P, Sharma R (2005) Making scheduling “Cool”: temperature-aware workload placement in data centers. In: USENIX Annual Technical Conference, Anaheim, California, pp 61–75, April 10–15
11.
Parolini L, Sinopoli B, Krogh BH (2009) A unified thermal-computational approach to data center energy management. In: Fifth International Workshop on Feedback Control Implementation and Design in Computing Systems and Networks, San Francisco, California, USA, April 16, 2009
12.
Parolini L, Garone E, Sinopoli B, Krogh BH (2010) A hierarchical approach to energy management in data centers. In: Proc. of the 49th IEEE Conference on Decision and Control, Atlanta, Georgia, USA, pp 1065–1070
13.
Parolini L, Tolia N, Sinopoli B, Krogh BH (2010) A cyber-physical systems approach to energy management in data centers. In: First international conference on cyber-physical systems, Stockholm, Sweden, pp 168–177
14.
Parolini L, Sinopoli B, Krogh BH (2011) Model predictive control of data centers in the smart grid scenario. In: Proc. of the 18th International Federation of Automatic Control (IFAC) World Congress, Vol 18, Part1, Milano, Italy
15.
Patel CD, Sharma RK, Bash C, Beitelmal M (2002) Thermal considerations in cooling large scale high compute density data centers. In: ITHERM, San Diego, CA, USA, pp 767–776
16.
Patterson M, Costello D, Grimm PF, Loeffler M (2007) Data center TCO; a comparison of high-density and low-density spaces. White paper, Intel Corporation
17.
Patterson MK, Fenwick D (2008) The state of data center cooling. White paper, Intel Corporation
18.
Sharma RK, Bash CE, Patel CD, Friedrich RJ, Chase JS (2005) Balance of power: Dynamic thermal management for internet data centers. IEEE Internet Comput 9:42–49CrossRef
19.
Tang Q, Mukherjee T, Gupta SKS, Cayton P (2006) Sensor-based fast thermal evaluation model for energy efficient high-performance data centers. In: Intelligent Sensing and Information Processing, Bangalore, India, pp 203–208
20.
The Green Grid (2007) The green grid data center power efficiency metrics: PUE and DCiE. White paper, Technical Committee
21.
Tolia N, Wang Z, Ranganathan P, Bash C, Marwah M, Zhu X (2009) Unified power and cooling management in server enclosures. In: InterPACK, San Francisco, California, USA, pp 721–730
22.
US Environmental Protection Agency (2007) Report to congress on server and data center energy efficiency. Tech. rep., ENERGY STAR Program
23.
Walsh EJ, Breen TJ, Punch J, Shah AJ, Bash CE (2010) From chip to cooling tower data center modeling: Part II influence of chip temperature control philosophy. In: Proc. 12th IEEE Intersociety Conf. Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm), Las Vegas, NV, pp 1–7
Metadata
Title
Models and Control Strategies for Data Centers in the Smart Grid
Authors
Luca Parolini
Bruno Sinopoli
Bruce H. Krogh
Copyright Year
2012
Publisher
Springer New York
Book
Control and Optimization Methods for Electric Smart Grids

Print ISBN: 978-1-4614-1604-3

Electronic ISBN: 978-1-4614-1605-0

Copyright Year: 2012

DOI
https://doi.org/10.1007/978-1-4614-1605-0_11