CFP last date
20 May 2024
Reseach Article

A Solution to Optimize the Resources Present in the Cloud via Green Cloud Meeting Service Level Agreement

by P. Elango, M. Jannani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 63 - Number 8
Year of Publication: 2013
Authors: P. Elango, M. Jannani
10.5120/10486-5239

P. Elango, M. Jannani . A Solution to Optimize the Resources Present in the Cloud via Green Cloud Meeting Service Level Agreement. International Journal of Computer Applications. 63, 8 ( February 2013), 20-23. DOI=10.5120/10486-5239

@article{ 10.5120/10486-5239,
author = { P. Elango, M. Jannani },
title = { A Solution to Optimize the Resources Present in the Cloud via Green Cloud Meeting Service Level Agreement },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 63 },
number = { 8 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume63/number8/10486-5239/ },
doi = { 10.5120/10486-5239 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:13:47.416292+05:30
%A P. Elango
%A M. Jannani
%T A Solution to Optimize the Resources Present in the Cloud via Green Cloud Meeting Service Level Agreement
%J International Journal of Computer Applications
%@ 0975-8887
%V 63
%N 8
%P 20-23
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Green cloud meeting the SLA (Service level agreement) in Cloud Computing presents an interesting and economical solution for optimizing the resources present in the cloud. The idea of this paper is to implement a cloud architecture that optimizes the energy consumed in the cloud without compromising the performance of high profile users, taking the energy consumption of the processor of a node controller under consideration. The Cloud controller optimizes the virtual machines accordingly to make the processor in low power state. The basics of Cloud Computing is briefly discussed. The architecture of the Green cloud system and its modules are discussed in detail. The Pseudo code is discussed for the Energy save calculator. The test cases with their expected results are listed.

References
  1. A. Gara, M. and and . A. Blumrich "Overview of the Blue Gene/L system architecture," IBMJournal of Research and Development, vol. 49, no. 2-3, pp. 195–212, 2005.
  2. K. Li, "Performance Analysis of Power-Aware Task Scheduling Algorithmson Multiprocessor Computers with Dynamic Voltage and Speed,"IEEE Trans. Parallel Distrib. Syst. , vol. 19, no. 11, pp. 1484–1497, 2008.
  3. W. Forrest, "How to cut data centre carbonemissions?" Website, December 2008. [Online]. Available:http://www. computerweekly. com/Articles/2008/12/05/233748/how-tocut-data-centre-carbon- issions. htm.
  4. P. W. Hale, "Acceleration and time to fail," Quality and ReliabilityEngineering International, vol. 2, no. 4, pp. 259–262, 1986.
  5. G. Magklis, G. Semeraro, D. Albonesi, S. Dropsho, S. Dwarkadas, andM. Scott, "Dynamic frequency and voltage scaling for a multiple-clockdomainmicroprocessor," IEEE Micro, vol. 23, no. 6, pp. 62–68, 2003.
  6. L. Wang, M. Kunze, and J. Tao, "Performance evaluation of virtualmachine based Grid workflow system," Concurrency and Computation:Practice and Experience, vol. 20, no. 15, pp. 1759–1771, 2008.
  7. W. Huang, J. Liu, B. Abali, and D. K. Panda, "A case for highperformance computing with virtual machines," in Proceedings of the20th Annual International Conference on Supercomputing, 2006, pp. 125–134.
  8. V. B¨uge, Y. Kemp, M. Kunze, and G. Quast, "Application of VirtualisationTechniques at a University Grid Center," in e-Science, 2006.
  9. N. Fallenbeck, H. Picht, M. Smith, and B. Freisleben, "Xen and the artof cluster scheduling," in First International Workshop on VirtualizationTechnology in Distributed Computing, 2006, pp. 4–4.
  10. G. Magklis, G. Semeraro, D. Albonesi, S. Dropsho, S. Dwarkadas, andM. Scott, "Dynamic frequency and voltage scaling for a multiple-clockdomainmicroprocessor," IEEE Micro, vol. 23, no. 6, pp. 62–68, 2003.
  11. L. Wang, M. Kunze, and J. Tao, "Performance evaluation of virtualmachine based Grid workflow system," Concurrency and Computation:Practice and Experience, vol. 20, no. 15, pp. 1759–1771, 2008.
  12. W. Huang, J. Liu, B. Abali, and D. K. Panda, "A case for high performance computing with virtual machines," in Proceedings of the20th Annual International Conference on Supercomputing, 2006, pp. 125–134.
  13. V. B¨uge, Y. Kemp, M. Kunze, and G. Quast, "Application of VirtualisationTechniques at a University Grid Center," in e-Science, 2006.
  14. N. Fallenbeck, H. Picht, M. Smith, and B. Freisleben, "Xenand the art of cluster scheduling," in First International Workshop on VirtualizationTechnology in Distributed Computing, 2006, pp. 4–4.
  15. Y. Wiseman and D. Feitelson, "Paired gang scheduling," IEEE Transactions on Parallel and Distributed Systems, vol. 14, no. 6, pp. 581–592,2003.
  16. D. Marr, F. Binns, D. Hill, G. Hinton, D. Koufaty, J. Miller, and M. Upton,"Hyper-threading technology architecture and microarchitecture,"Intel Technology Journal, vol. 6, no. 1, pp. 4–15, 2002.
  17. K. Yu, "Xen PM," Website, March 2009. [Online]. Available:http://wiki. xensource. com/xenwiki/xenpm.
  18. J. Fontan, T. Vazquez, L. Gonzalez, R. S. Montero, and I. M. Llorente,"OpenNEbula: The Open Source Virtual Machine Manager for ClusterComputing," in Open Source Grid and Cluster Software Conference,San Francisco, CA, USA, May 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Green Cloud Virtual machines Service Level Agreement and Energy Efficiency