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Reseach Article

Increasing Cloud Usage: A Shift towards Green Clouds

by Amritpal Kaur, Supriya Kinger
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Number 13
Year of Publication: 2013
Authors: Amritpal Kaur, Supriya Kinger
10.5120/11458-7064

Amritpal Kaur, Supriya Kinger . Increasing Cloud Usage: A Shift towards Green Clouds. International Journal of Computer Applications. 67, 13 ( April 2013), 28-32. DOI=10.5120/11458-7064

@article{ 10.5120/11458-7064,
author = { Amritpal Kaur, Supriya Kinger },
title = { Increasing Cloud Usage: A Shift towards Green Clouds },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 67 },
number = { 13 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 28-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume67/number13/11458-7064/ },
doi = { 10.5120/11458-7064 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:24:46.012144+05:30
%A Amritpal Kaur
%A Supriya Kinger
%T Increasing Cloud Usage: A Shift towards Green Clouds
%J International Journal of Computer Applications
%@ 0975-8887
%V 67
%N 13
%P 28-32
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As Cloud computing is being adopted widely and usage of internet services is increasing day by day, which gives rise to built large scale data centers. In cloud computing, a lot of research has been done on energy saving programs for reducing the energy consumption of large scale data centers. As large scale data centers consumes large amount of electrical power which affects the operating cost, performance as well as environment. This paper surveys the different energy saving techniques in network, protocols, algorithms and hardware infrastructure for energy- efficient operations.

References
  1. P. Mell, and T. Grance, "The NIST Definition of Cloud computing", National Institute of Standards and Technology, 2009.
  2. Jayant Baliga, Robert W. A. Ayre, Kerry Hinton, and Rodney S. Tucker, "Green Cloud Computing: Balancing Energy in Processing, Storage, and Transport", in the proceedings of the 2011 IEEE, Vol. 99, No. 1, pp. 149-167.
  3. Peeyush Mather and Nikhil Nishchal. 2010. Cloud Computing: New challenge to the entire computer industry. In the Ist International Conference on Parallel, Distributed and Grid Computing, pp. 223-225.
  4. Jiyi WU, Lingdi PING, Xiaoping GE, Ya Wang and Jianqing FU. 2010. Cloud Storage as the Infrastructure of Cloud Computing. In the International Conference on Intelligent Computing and Cognitive Informatics, pp. 380-383.
  5. Anton Beloglazov and Rajkumar Buyya. 2010. Energy Efficient Resource Management in Virtualized Cloud Data Centers. In the IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, pp. 826-829.
  6. A. Berl, E. Gelenbe, M. D. Girolamo, G. Giuliani, H. D. Meer, M. Q. Dang and K. Pentikousis, "Energy-Efficient Cloud Computing", The Computer Journal, Vol. 53, No. 7, 2009, in Oxford University Press on behalf of The British Computer Society.
  7. Energy Star, http://www. energystar. gov.
  8. Intel, White Paper, "Wireless Intel SpeedStep Power Manager: optimizing power consumption for the Intel PXA27x processor family", 2004.
  9. AMDPowerNow!Technology,http://www. amd. com/dede/Processors/ProductInformation/0„30_118_10220_10221ˆ964,00. html.
  10. AMDCool'n'QuietTechnology,http://www. amd. com/dede/Processors/ProductInformation
  11. Intel Software Network (2008) Enhanced Intel Speed-Step Technology and Demand-Based Switching on Linux. http://softwarecommunity. intel. com/articles/eng/1611. htm
  12. "ENERGY STAR* system implementation", Intel with technical collaboration from the U. S. Environmental ProtectionAgency, White Paper-001, 2007.
  13. C. Windeck. 2007. Energy Star 4. 0. c't Magazin für Computer Technik", pp. 52–53.
  14. Lizhe Wangy, Gregor von Laszewskiy, Jai Dayalz and Fugang Wangy. 2010. Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with DVFS. IN the 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, pp. 368-374.
  15. G. Chen, K. Malkowski, M. Kandemir, and P. Raghavan. 2005. Reducing power with performance constraints for parallel sparse applications. In Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 11. Washington, DC, USA: IEEE Computer Society, pp. 231.
  16. R. Ge, F. X. , F. W. , and K. Cameron. 2007. CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters. In Proceedings of the 2007 International Conference on Parallel Processing, IEEE Computer Society Washington, DC, USA.
  17. Rolf Harms and Michael Yamartino, "The Economics of the Cloud", Microsoft, White paper, 2010.
  18. Jason Nieh, S. Jae Yang and Naomi Novik. 2000 A Comparison of Thin-Client Computing Architectures", Technical Report CUCS-022-00, Columbia University.
  19. http://computer. howstuffworks. com/servervirtualization2. htm.
  20. VMware, "Understanding Full Virtualization, Paravirtualization, and Hardware Assist", White Paper.
  21. J. Stoess, C. Lang, and F. Bellosa. 2007. Energy Management for Hypervisor-Based Virtual Machines. USENIX Annual Technical Conference, pp. 1–14.
  22. http://searhiomidmarket. techtarget. com/definite/terminal_server.
  23. Muzafar Ahmad Bhat, Razeef Mohd Shah, Bashir Ahmad and Inayat Rasool Bhat, "Cloud Computing: A Solution to Information Support Systems (ISS)" International Journel of Computer Aplications, 2010.
  24. J Hamilton. 2009. Cooperative expendable micro-slice servers (CEMS): low cost, low power servers for internet-scale services. In Proceedings of CIDR, California, USA.
  25. M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. H. Katz, A. Konwinski, G. Lee, D. A. Patterson, A. Rabkin, I. Stoica, andM. Zaharia. 2009 Above the clouds: A Berkeley view of cloud computing", Tech. Report. UCB/EECS-2009-28.
  26. F. Chang, J. Dean, S. Ghemawat, W. C. Hsieh,D. A. Wallach, M. Burrows, T. Chandra, A. Fikes, and R. E. Gruber. 2006. BBigtable: A distributed storage system for structured data. In Proceeding of 7th Symposium Operating System Design Implementation, pp. 205–218.
  27. D. Colarelli and D. Grunwald. 2002. Massive arrays of idle disks for storage archives. In Proceeding of ACM/IEEE Conference on Supercomputures, pp. 1-11.
  28. Xue-Liang Liao, Shi Bai, Yu-Ping Wang andShi-Min Hu. 2011. ISRA-Based Grouping: A Disk Reorganization Approach for Disk Energy Conservation and Disk Performance Enhancement. IEEE Transactions on Computers, vol. 60, issue no. 2, 2011, pp. 292-304.
  29. http://www. remotescan. com/terminalservicediagram. php.
  30. E. Gelenbe and S. Silvestri. 2009. Reducing Power Consumption in Wired Networks. In Proceeding of 24th Annual International Symposium on Computer and Information Sciences (ISCIS), pp. 717-729.
  31. Si-Yuan Jing, Shahzad Ali, Kun She and Yi Zhong 2011. State-of-the-art research study for green cloud computing. Springer Science and Business Media.
Index Terms

Computer Science
Information Sciences

Keywords

Energy-efficiency Para Virtualization Full Virtualization co2 footprints