The Strategic Plan Founded on Efficiency of Using Green Computing Techniques in Data Centers
Keywords:
Datacenter, Green computing (green IT), Green technology and Efficient Energy UseAbstract
The ever-increasing costs of supplying energy as a part of total costs of any project and their environmental impacts have turned into a real challenge for IT industry and data centers in particular which are considered information processing and storage centers in IT industry which consume lots of energy. The need to optimize energy consumption is felt due to relatively fixed accessible energy sources, ever-increasing need to develop green data centers and expansion of existing centers. The present study aims at providing a standard strategy to reduce energy consumption and devastating impacts on the environment. This strategy is comprised of three stages of a) assessment, b) analysis and c) solution. Having provided parameters and metrics for the assessment of consumption and utilization extent; it, then, introduces technologies and solutions for and their effects on optimization of energy consumption.
References
Binder, W. & Suri, N. 2009, “Green computing: energy consumption optimized service hosting,” SOFSEM 2009: Theory and Practice of Computer Science, 5404, 117-128.
Murugesan, S. 2008, “Harnessing green IT: principles and practices,” IT professional, 10, 24-33.
Torres, J., Carrera, D., Hogan, K., Gavalda, R., Beltran, V. & Poggi, N. 2008, “Reducing wasted resources to help achieve green data centers. parallel and distributed processing,” IEEE International Symposium on IPDPS, 2008b. IEEE, 1-8.
Beloglazov, A. & Buyya, R., “Energy efficient resource management in virtualized cloud data centers,” Proceedings of the 2010 10th IEEE/ACM international conference on cluster, cloud and grid computing, 2010. IEEE Computer Society, 826-831.
Le Masson, S. & Nortershauser, D., “New thermal architecture for future green data centres,” Telecommunications energy conference (INTELEC), 32nd International, 2010. IEEE, 1-5.
Gandhi, A., Harchol-Balter, M., Das, R. & Lefurgy, C., “Optimal power allocation in server farms,” Proceedings of the eleventh international joint conference on measurement and modeling of computer systems, 2009. ACM, 157-168.
Murugesan, S. 2008, “Harnessing green IT: principles and practices,” IT professional, 10, 24-33.
Gehin, A., Zwolinski, P. & Brissaud, D. 2008, “A tool to implement sustainable end-of-life strategies in the product development phase,” Journal of Cleaner Production, 16, 566-576.
Kokkinos, P., Christodoulopoulos, K., Kretsis, A. & Varvarigos, E, “Data consolidation: A task scheduling and data migration technique for grid networks,” Cluster Computing and the Grid, 2008. CCGRID'08. 8th IEEE international symposium on, 2008. IEEE, 722-727.
Scofield, B. & Hayden, P., “Keeping cool in the data center: A high-efficiency modular solution,” Telecommunications energy conference (INTELEC), 32nd international, 2010. IEEE, 1-5.
Scofield, B. & Hayden, P., “Keeping cool in the data center: A high-efficiency modular solution,”Telecommunications energy conference (INTELEC), 32nd international, 2010. IEEE, 1-5.
Nakamura, M., Nakamura, R., Nishida, R., Takeuchi, A. & Tominaga, T., “Energy efficient cooling in data center using optimization approach,”SICE Annual Conference (SICE), 2012 Proceedings of, 2012. IEEE, 2103-2108.
Curtis, P. M. 2010. Appendix C, “Airflow management: A systems approach. maintaining mission critical systems in a 24/7 Environment, Second Edition, 441-457.
Niemann, J. 2008., “Hot aisle vs. cold aisle containment,” APC white paper.
Patterson, D. M. 2008., “Sveven strategies to improve data center cooling efficiency”.
Scofield, B. & Hayden, P., “Keeping cool in the data center: A high-efficiency modular solution,”Telecommunications energy conference (INTELEC), 32nd international, 2010. IEEE, 1-5.
Scofield, B. & Hayden, P., “Keeping cool in the data center: A high-efficiency modular solution,”Telecommunications energy conference (INTELEC), 32nd international, 2010. IEEE, 1-5.
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