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Implementation of Server virtualization to Build Energy Efficient Data Centers

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The rapid growth in the size and capacity of data centers driven by a continual rise in the number of servers and other IT equipment is causing an exponential increase in the demand for power. All data centers are plagued by the operational presence of thousands of servers as major components. These servers consume a huge amount of power while performing little in terms of useful work. In an average server environment, 30% of servers are “zombies”- they merely consume power while having a utilization ratio of only 5 to 10 %. Server virtualization contributes to this problem by offering an opportunity to consolidate multiple underutilized volume servers into a single physical server, thereby reducing the physical and environmental footprint of data centers. This paper suggests implementing “server virtualization” to achieve energy efficient data centers. The proposed technique increases the utilization ratio of underutilized servers up to 50%, saving a huge amount of power and at the same time reducing the emission of greenhouse gases.
Rocznik
Strony
85--94
Opis fizyczny
Bibliogr. 30 poz., tab.
Twórcy
autor
  • Kulliah of Information Communication Technology, International Islamic University Malaysia, Malaysia, mueenmalik9516@gmail.com
autor
  • Kulliah of Information Communication Technology, International Islamic University Malaysia, Malaysia
autor
  • Kulliah of Information Communication Technology, International Islamic University Malaysia, Malaysia
autor
  • Department of Computer Science, Adeniran Ogunsanya College of Education, Lagos, Nigeria
Bibliografia
  • [1] M. Uddin, A. A. Rahman, J. Memon, Carbon sustainability framework to reduce co2 emissions in data centres, International Journal of Green Economics 5 (2011) 353–369.
  • [2] K. Kant, Data center evolution: A tutorial on state of the art, issues, and challenges, Computer Networks 53 (2009) 2939–2965.
  • [3] Gartner Inc, Dublin, Sustainable IT, A Gartner Briefing (2008).
  • [4] J. G. Koomey, M. A. Piette, M. Cramer, J. H. Eto, Efficiency improvements in us office equipment: Expected policy impacts and uncertainties, Energy Policy 24 (1996) 1101–1110.
  • [5]R. Brown, Report to congress on server and data center energy efficiency: Public law, 109–431 (2008).
  • [6] M. Blazek, H. Chong, W. Loh, J. Koomey, A data center revisited: Assessment of the energy impacts of retrofits and technology trends in a high density computing facility, The ASCE Journal of Infrastructure Systems 10 (3) (2004) 98–104.
  • [7] T. Daim, J. Justice, M. Krampits, M. Letts, G. Subramanian, M. Thirumalai, Data center metrics: an energy efficiency model for information technology managers, Management of Environmental Quality 20 (6) (2009) 712–731.
  • [8] J. G. Koomey, Worldwide electricity used in data centers, Environmental Research Letters 3 (2008) 034008. doi:10.1088/1748-9326/3/3/034008.
  • [9] J. M. Pierson, Green task allocation: taking into account the ecological impact of task allocation in clusters and clouds, Journal of Green Engineering 1 (2) (2011) 129–144.
  • [10] M. Uddin, A. A. Rahman, Server consolidation: An approach to make data centers energy efficient and green, International journal of Scientific and Engineering Research 1 (2010) 1–7.
  • [11] M. Uddin, M. Talha, A. A. Rahman, A. Shah, J. Ahmed, Green information technology (it) framework for energy efficient data centers using virtualization, International Journal of Physical Sciences 7 (2012) 2052–2065.
  • [12] R. Bianchini, R. Rajamony, Power and energy management for server systems, IEEE Computer 37 (11) (2004) 68–74, special issue on Internet data centers.
  • [13] M. Uddin, A. A. Rahman, Energy efficiency and low carbon enabler green it framework for data centers considering green metrics, Renewable and Sustainable Energy Reviews 16 (2012) 4078–4094.
  • [14] K. Kant, Data center evolution: A tutorial on state of the art, issues, and challenges, Computer Networks 53 (2009) 2939–2965.
  • [15] J. G. Koomey, Estimating total power consumption by servers in the us and the world, Final report (February 15 2007).
  • [16] A. Molla, V. A. Cooper, S. Pittayachawan, It and ecosustainability: Developing and validating a green it readiness model, in: ICIS 2009 Proceedings, 2009.
  • [17] J. Xu, M. Zhao, J. Fortes, R. Carpenter, M. Yousif, Autonomic resource management in virtualized data centers using fuzzy logic-based approaches, Cluster Comput. J. 11 (3) (2008) 213–227.
  • [18] F. Bellosa, A. Weissel, M. Waitz, S. Kellner, Event-driven energy accounting for dynamic thermal management, in: Proceedings of the Workshop on Compilers and Operating Systems for Low Power (COLP), New Orleans, LA, 2003.
  • [19] A. Chandra, W. Gong, P. Shenoy, Dynamic resource allocation for shared data centers using online measurements, in: Proceedings of the 11th international conference on Quality of service, Berkeley, CA, 2003, pp. 381–398.
  • [20] Y. Hang, C. Kuo, I. Ahmad, Energy efficiency in data centers and cloud based multimedia services: an overview and future directions, in: International conference on green computing conference, 2010, pp. 375–382.
  • [21] L. Chiaraviglio, M. Mellia, F. Neri, Energy-aware backbone networks: a case study, in: Proceedings of the first international workshop on green communications (Green-Comm09), IEEE international conference on communications, Dresden, Germany, 2009.
  • [22] D. Kusic, J. O. Kephart, J. E. Hanson, N. Kandasamy, G. Jiang, Power and performancee management of virtualized computing environments via lookahead control, Cluster Computing 12 (1) (2009) 1–15.
  • [23] I. Dincer, M. A. Rosen, Exergy: as a driver for achieving sustainability, International Journal of Green Energy 1 (1) (2004) 1–19.
  • [24] C. Belady, In the data center, power and cooling costs more than the it equipment it supports, in: Electronics Cooling, Vol. 23, 2007.
  • [25] C. Liu, C. L. Sia, K. K. Wei, Adopting organizational virtualization in b2b firms: an empirical study in singapore, Information and Management 45 (7) (2008) 429–437.
  • [26] X. J. Chen, J. Zhang, Overview of virtualization technology and its application in manufacturing information, Computer Engineering and Applications 46 (23) (2010) 25–30.
  • [27] T. Brey, L. Lamers, Using virtualization to improve data center efficiency, in: the green grid, whitepaper, Vol. 19, 2009.
  • [28] J. L. Hennessy, D. A. Patterson, Computer Architecture: A Quantitative Approach, Morgan Kaufmann Publishers Inc., 2003.
  • [29] P. Bohrer, E. Elnozahy, T. Keller, M. Kistler, C. Lefurgy, C. McDowell, R. Rajamony, Power aware computing, IBM Research, Austin TX 78758, USA, 2002, Ch. The case for power management in web servers, pp. 1–31.
  • [30] M. Uddin, A. A. Rahman, Techniques to implement in green data centres to achieve energy efficiency and reduce global warming effects, International Journal of Global Warming 3 (2011) 372–389
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f8df269d-bbe2-4843-a9c9-433cd8c70f82
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