CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Cluster Energy Optimization: An Algorithmic Approach

by Vikram Yadav, G. Sahoo, K. Mukherjee
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 71 - Number 4
Year of Publication: 2013
Authors: Vikram Yadav, G. Sahoo, K. Mukherjee
10.5120/12349-8641

Vikram Yadav, G. Sahoo, K. Mukherjee . Cluster Energy Optimization: An Algorithmic Approach. International Journal of Computer Applications. 71, 4 ( June 2013), 34-39. DOI=10.5120/12349-8641

@article{ 10.5120/12349-8641,
author = { Vikram Yadav, G. Sahoo, K. Mukherjee },
title = { Cluster Energy Optimization: An Algorithmic Approach },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 71 },
number = { 4 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 34-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume71/number4/12349-8641/ },
doi = { 10.5120/12349-8641 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:34:39.796565+05:30
%A Vikram Yadav
%A G. Sahoo
%A K. Mukherjee
%T Cluster Energy Optimization: An Algorithmic Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 71
%N 4
%P 34-39
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In fact, Gartner projected global revenue for cloud computing to reach almost $150 billion by 2014. However, The 2011 market is already approx $68 billion globally. With increase in web technologies and Internet, a proportional increase in Cloud computing technologies has been cited. Cloud computing has been emerging as a flexible and powerful computational architecture to offer ubiquitous services to users. A variety of hardware and software resources are integrated together as a resource pool, the software is no longer resided in a single hardware environment, it is performed upon the schedule of the resource pool for optimized resource utilization. The optimization of energy consumption in the cloud computing environment is the question how to use various energy conservation strategies to efficiently allocate resources. The need of different resources in cloud environment is unpredictable. It is observed that load management in cloud is utmost needed in order to provide QOS. The jobs at over-loaded physical machine are shifted to under-loaded physical machine and turning the idle machine off in order to provide green cloud. For energy optimization, DVFS and Power-Nap are good strategies. As much of this energy is wasted in idle systems: in typical deployments, server utilization is below 30%, but idle servers still consume 60% of their peak power draw. In this paper, we have proposed an algorithm for energy optimization having the constraint QOS and SLA.

References
  1. The Google File System, http://labs. google. com/papers/gfs-sosp2003. pdf.
  2. Bigtable:A Distributed Storage System for Structured Data , http://labs. google. com/papers/bigtable-osdi06. pdf
  3. MapReduce:Simplifed Data Processing on LargeClusters, http://labs. google. com/papers/mapreduceosdi04. pdf
  4. Hadoop, http://lucene. apache. org/hadoop/
  5. Amazon Simple Storage Service, http://aws. amazon. com/s3/.
  6. The Datacenter Journal, http://www. datacenterjournal. com/facilities/the-green-data-center-opportunity/.
  7. L. Barroso and U. Holzle, "The case for energy- proportional computing,"IEEE Computer, Jan 2007.
  8. X. Fan, W. D. Weber, and L. A. Barroso, "Power provisioning for a warehouse-sized computer," in Proc. of the 34th Annual InternationalSymposium on Computer Architecture, 2007.
  9. C. Lefurgy, X. Wang, and M. Ware, "Server-level powercontrol,"in Proc. of the IEEE International Conference on Autonomic Computing, Jan 2007.
  10. P. Bohrer, E. Elnozahy, T. Keller, M. Kistler, C. Lefurgy, and R. Rajamony, "The case for power management in web servers,"Power Aware Computing, Jan 2002.
  11. http://www. netxt. com/power-103-megawatt-secret-google-container-data-center/
  12. Microsoft Dublin Data Center, http://www. datacenterknowledge. com/inside-microsofts-dublin-mega-data-center/dublin-data-center-generators/
  13. D. Meisner and B. Gold, "PowerNap: Eliminating Server Idle Power", ACM 978-1-60558-215-3/09/03.
  14. Liang Luo, Wenjun Wu "A Resource Scheduling Algorithm of Cloud Computing based on Energy Efficient Optimization Methods" IEEE-2010.
  15. E. Feller. , D. Leprince and C. Morin. "State of the art of power saving in clusters results from the EDF", case study. 2010.
  16. C. H. Hsu & S. W. Poole. "Power Signature Analysis of the SPECpower_ssj2008 Benchmark[C]. Performance Analysis of Systems and Software (ISPASS)", 2011 IEEE International Symposium, 2011: 227-236.
  17. C. Lively , X. Wu, V. Taylor, S. Moore, H. Chang and K. Cameron. "Energy and performance characteristics of different parallel implementations of scientific applications on multicore systems", International Journal of High Performance Computing Applications, 2011, 25(3): 342-350.
  18. H. Aydin, R. G Melhem, D Mosse, and P. Mejia-Alvarez. "Power-Aware Scheduling for Periodic Ral-Time Task", IEEE Transactions on Computers, May 2004, , 53(5)
  19. K. Mukherjee and G. Sahoo "Mathematical Model of Cloud computing framework using Fuzzy Bee Colony optimization Technique", International Conference on Advances in Computing, Control and Telecommunication Technologies, IEEE Xplorer, 2009.
  20. K. Mukherjee and G. Sahoo, "A framework for achieving better load balancing and job scheduling in Grid environment", International Journal of Information Technology and knowledge Management, volume 2, No - 1, pp- 199- 202, January- June, 2009.
  21. K. Mukherjee. and G. Sahoo. "Green Cloud: An Algorithmic Approach", International Journal of Computer Application Volume9 – No. 9 November 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing DVFS Power-Nap Ant colony algorithm bee colony algorithm

Powered by PhDFocusTM