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

Multilayer Hybrid Energy Efficient Approach in Green Cloud Computing

by Daljinder Singh, Madeep Devgan
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 147 - Number 6
Year of Publication: 2016
Authors: Daljinder Singh, Madeep Devgan
10.5120/ijca2016911119

Daljinder Singh, Madeep Devgan . Multilayer Hybrid Energy Efficient Approach in Green Cloud Computing. International Journal of Computer Applications. 147, 6 ( Aug 2016), 12-15. DOI=10.5120/ijca2016911119

@article{ 10.5120/ijca2016911119,
author = { Daljinder Singh, Madeep Devgan },
title = { Multilayer Hybrid Energy Efficient Approach in Green Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 147 },
number = { 6 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 12-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume147/number6/25656-2016911119/ },
doi = { 10.5120/ijca2016911119 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:51:10.018081+05:30
%A Daljinder Singh
%A Madeep Devgan
%T Multilayer Hybrid Energy Efficient Approach in Green Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 147
%N 6
%P 12-15
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing is an important paradigm in Information Knowledge field. The main aim of Green Cloud computing is to reduce the energy consumed by physical resources in data center and save energy and also increases the performance of the system. There are several scheduling algorithms such as Adaptive Min-Min Scheduling Algorithm; Multilevel Feedback Queue Scheduling Algorithm etc. are utilized in green cloud computing to lower the energy consumption and time. In proposed work, one scheduling algorithm will be implemented which is Multilevel Feedback Queue Scheduling algorithm. On its basis, energy consumption taking place will be reduced after using improved Adaptive Min-Min Scheduling Algorithm.

References
  1. Garg, Saurabh Kumar, and RajkumarBuyya. "Green cloud computing and environmental sustainability." Harnessing Green IT: Principles and Practices(2012): 315-340.
  2. Chauhan N. and Saxena A., “A Green Software Development Lifecycle for Cloud Computing”, IEEE’s IT Pro, 2013, pp. 28-34.
  3. Molla A., “The Reach And Richness Of Green IT: A Principal Component Analysis”, Proc. 20th Australasian Conference on Information Systems, 2009, pp. 754-764.
  4. Etminani, Kobra, and M. Naghibzadeh. "A min-min max-min selective algorihtm for grid task scheduling." Internet, 2007. ICI 2007. 3rd IEEE/IFIP International Conference in Central Asia on. IEEE, 2007.
  5. Jain, A., Mishra, M. K., Peddoju, S. K., & Jain, N. (2013, April), “Energy efficient computing-green cloud computing” In Energy Efficient Technologies for Sustainability (ICEETS), IEEE, 2013, pp. 978-982.
  6. Priya, B., Pilli, E. S., & Joshi, R. C. (2013, February), “A survey on energy and power consumption models for Greener Cloud” In Advance Computing Conference (IACC), IEEE 3rd International, 2013, pp. 76-82.
  7. Kaur M. and Singh P., (Eds.), “Energy Efficient Green Cloud: Underlying Structure”, Proceeding of the IEEE international conference of the Energy Efficient Technologies for Sustainability (ICEETS), Nagercoil, 2013 April 10- 12, pp. 207-212.
  8. DivyaDoraya, “A Review Paper on Green Cloud Computing-A New form of Computing” International Journal of Advanced Research in Computer Science and Software Engineering, July 2015, V. 5, I. N. 7, pp. 1165-1167.
  9. Yeanf-Fu Wen, “On Energy Efficiency Data Access and Backup for Cloud Computing Networks” Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing, 20-23 Aug. 2013, pp. 1369 – 1374.
  10. Y. Ponnusamy, S. Sasikumar, “Application of Green Cloud Computing for Energy Management”, International Journal of Computer Science & Research in Computing, Vol. 1, 2013, pp. 1-5.
  11. Truong Vinh Truong Duy; Sato, Y. and Inoguchi, Y., “Performance evaluation of a Green Scheduling Algorithm for energy savings in Cloud computing” Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), IEEE International Symposium on 19-23 April 2010, pp. 1 – 8.
  12. Si-Yuan Jing, Shahzad Ali, Kun She and Yi Zhong, “State-of-the-art research study for green cloud computing” The Journal of Supercomputing, Springer, July 2013, V 65, I. N. 1, pp 445-468.
  13. F.Satoh, H.Yanagisawa, H.Takahashi, and T.Kushida, “Total Energy Management system for Cloud Computing”, Proceedings of the IEEE International Conference of the Cloud Engineering (IC2E), Redwood City, 2013 March 25-27, pp 233 - 240.
  14. F.Owusu and C.Pattinson, “The current state of understanding of the energy efficiency of cloud computing”, Proceeding of the IEEE11th International Conference of the Trust, Security, Privacy in Computing and Communications (TrustCom), Liverpool, 2012 June 25-27, pp1948 – 1953.
  15. Ashktorab, V., &Taghizadeh, S. R., “Security threats and countermeasures in cloud computing” International Journal of Application or Innovation in Engineering & Management (IJAIEM), 2012, V. 1, N. 2, pp. 234-245.
Index Terms

Computer Science
Information Sciences

Keywords

Multilevel Feedback Queue Scheduling algorithm Adaptive Min-Min Scheduling Algorithm Cloud Computing Data centers.

Powered by PhDFocusTM