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Issue No.06 - June (2013 vol.62)
pp: 1086-1096
Lakshmi Ganesh , Cornell University, Ithaca
Hakim Weatherspoon , Cornell University, Ithaca
Tudor Marian , Cornell University, Ithaca
Ken Birman , Cornell University, Ithaca
Energy accounts for a significant fraction of the operational costs of a data center, and data center operators are increasingly interested in moving toward low-power designs. Two distinct approaches have emerged toward achieving this end: the power-proportional approach focuses on reducing disk and server power consumption, while the green data center approach focuses on reducing power consumed by support-infrastructure like cooling equipment, power distribution units, and power backup equipment. We propose an integrated approach, which combines the benefits of both. Our solution enforces power-proportionality at the granularity of a rack or even an entire containerized data center; thus, we power down not only idle IT equipment, but also their associated support-infrastructure. We show that it is practical today to design data centers to power down idle racks or containers—and in fact, current online service trends strongly enable this model. Finally, we show that our approach combines the energy savings of power-proportional and green data center approaches, while performance remains unaffected.
Servers, Cooling, Power distribution, Data models, Switches, Energy consumption, Green products, distributed storage, Cloud, power management
Lakshmi Ganesh, Hakim Weatherspoon, Tudor Marian, Ken Birman, "Integrated Approach to Data Center Power Management", IEEE Transactions on Computers, vol.62, no. 6, pp. 1086-1096, June 2013, doi:10.1109/TC.2013.32
[1] Amazon Simple Storage Service (S3),, 2013.
[2] Open Compute Project, http:/, 2013.
[3] Storing Data in Windows Azure, http://www.windowsazure. com/en-us/develop/ net/fundamentals/cloud-storage#storing , 2013.
[4] The Internet Archive, http:/, 2013.
[5] P. Mell and T. Grance, "The NIST Definition of Cloud Computing," The Nat'l Inst. of Standards Technology, vol. 53, no. 6, 2009.
[6] 42U, "High Density In-Rack Cooling Solutions for Server Racks, Computer Rooms, Server Rooms & Data Centers," http://www. in-rack-cooling.htm, 2013.
[7] APC "Switched Rack PDU," familyindex.cfm?id=70 , 2013.
[8] D. Bhandarkar and K. Vaid, "Rightsizing Servers to Achieve Cost, Power Savings," Microsoft Global Foundation Services Whitepaper, 2009.
[9] F. Chang, J. Dean, S. Ghemawat, W. Hsieh, D. Wallach, M. Burrows, T. Chandra, A. Fikes, and R. Gruber, "Bigtable: A Distributed Storage System for Structured Data," Proc. Seventh USENIX Symp. Operating Systems Design, Implementation (OSDI), 2006.
[10] "Cisco Data Center Infrastructure 2.5 Design Guide," Cisco, Enterprise/ Data_Center/DC_Infra2_5DCI_SRND_2_5_book.html , 2007.
[11] "Data Center Top-of-Rack Architecture Design," Cisco, switches/ps9441/ps9670white_paper_c11-522337.html , 2009.
[12] D. Colarelli, D. Grunwald, and M. Neufeld, "The Case for Massive Arrays of Idle Disks (MAID)," Proc. Conf. File and Storage Technologies (FAST), 2002.
[13] G. DeCandia, D. Hastorun, M. Jampani, G. Kakulapati, A. Lakshman, A. Pilchin, S. Sivasubramanian, P. Vosshall, and W. Vogels, "Dynamo: Amazon's Highly Available Key-Value Store," Proc. 21st ACM SIGOPS Symp. Operating Systems Principles (SOSP), 2007.
[14] K. Fehrenbacher, "A Key to Google's Data Center Efficiency: One Backup Battery per Server," GigaOm, April first, /, 2009.
[15] Q.Z. Francis, F.M. David, C.F. Devaraj, Z. Li, Y. Zhou, and P. Cao, "Reducing Energy Consumption of Disk Storage Using Power-Aware Cache Management," Proc. Symp. High-Performance Computer Architecture (HPCA), Feb. 2004.
[16] L. Ganesh, H. Weatherspoon, M. Balakrishnan, and K. Birman, "Optimizing Power Consumption in Large Scale Storage Systems," Proc. 11th USENIX Workshop Hot Topics in Operating Systems (HotOS), 2007.
[17] S. Ghemawat, H. Gobioff, and S.-T. Leung, "The Google File System," Proc. Symp. Operating Systems Principles (SOSP), 2003.
[18] B. Golden, "Cloud Computing: How Big is Big Data? IDC's Answer," CIO, Computing_How_Big_is_Big_Data_IDC_s_Answer , May 2010.
[19] The Green Grid, "Seven Strategies to Improve Data Center Cooling Efficiency," white-papersSeven-Strategies-to-Cooling , 2008.
[20] S. Gurumurthi, A. Sivasubramaniam, M. Kandemir, and H. Franke, "DRPM: Dynamic Speed Control for Power Management in Server Class Disks," Proc. Int'l Symp. Computing Architecture (ISCA), 2003.
[21] S. Hancock, "Iceland Looks to Serve the World," BBC Click, Oct. 2009.
[22] J. Kaplan, W. Forrest, and N. Kindler, "Revolutionizing Data Center Energy Efficiency," Report by McKinsey&Company, pointofview/pdf Revolutionizing_Data_Center_Efficiency.pdf , July 2008.
[23] R. Kaushik, M. Bhandarkar, and K. Nahrstedt, "Evaluation, Analysis of GreenHDFS: A Self-Adaptive, Energy-Conserving Variant of the Hadoop Distributed File System," Proc. IEEE Second Int'l Conf. Cloud Computing Technology and Science, 2010.
[24] A. Lakshman and P. Malik, "Cassandra - A Decentralized Structured Storage System," Proc. Int'l Conf. Large Scale Distributed Systems and Middleware (LADIS), 2009.
[25] P. Lyman, H. Varian, P. Charles, N. Good, L. Jordan, and J. Pal, "How Much Information? Executive Summary," School of Information Management Systems, UC-Berkeley, 2003.
[26] D. Meisner, B. Gold, and T. Wenisch, "PowerNap: Eliminating Server Idle Power," Proc. ACM Int'l Conf. Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2009.
[27] R. Miller, "Microsoft's Windows Azure Cloud Container," Data Center Knowledge, http://www.datacenterknowledge. com/archives/ 2009/11/18microsofts-windows-azure-cloud-container /, Nov. 2009.
[28] R. Miller, "Who Has the Most Web Servers?," Data Center Knowledge, 2009/05/14whos-got-the-most-web-servers /, May 2009.
[29] D. Narayanan and A. Donnelly, "Write Off-Loading: Practical Power Management for Enterprise Storage," Proc. Conf. File and Storage Technologies (FAST), 2008.
[30] J. Niemann, J. Bean, and V. Avelar, "Economizer Modes of Data Center Cooling Systems," Schneider Electric Data Center Science Center Whitepaper, , 2011.
[31] E. Pinheiro and R. Bianchini, "Energy Conservation Techniques for Disk Array-Based Servers," Proc. Int'l Conf. Supercomputing (ICS), 2004.
[32] J. Timmer, "Datacenter Energy Costs Outpacing Hardware Prices," Ars Technica, 10datacenter-costs-outpacing-hardware-prices.ars , 2009.
[33] M. Ton, B. Fortenbery, and W. Tschudi, "DC Power for Improved Data Center Efficiency," Report by Laurence Berkeley Nat'l Laboratory (LBNL), 2008.
[34] K. Vaid, "Datacenter Power Efficiency: Separating Fact From Fiction," Invited Talk at Usenix HotPower, 2010.
[35] A. Verma, R. Koller, L. Useche, and R. Rangaswami, "Energy Proportional Storage Using Dynamic Consolidation," Proc. Conf. File and Storage Technologies (FAST), 2010.
[36] C. Weddle, M. Oldham, J. Qian, A.A. Wang, P. Reiher, and G. Kuenning, "PARAID: A Gear-Shifting Power-Aware RAID," Proc. Conf. File and Storage Technologies (FAST), 2007.
[37] J. Wilkes, R. Golding, C. Staelin, and T. Sullivan, "The HP AutoRAID Heirarchical Storage System," ACM Trans. Computer Systems, vol. 14, no. 1, pp. 108-136, 1996.
[38] Q. Zhu, Z. Chen, L. Tan, and Y. Zhou, "Hibernator: Helping Disk Arrays Sleep through the Winter," Proc. Symp. Operating Systems Principles (SOSP), 2005.
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