CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Max-Min Ant System based Approach for Intelligent VM Migration and Consolidation for Green Cloud Computing

by Reena Sarathe, Amit Mishra, Shiv Kumar Sahu
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 136 - Number 13
Year of Publication: 2016
Authors: Reena Sarathe, Amit Mishra, Shiv Kumar Sahu
10.5120/ijca2016908629

Reena Sarathe, Amit Mishra, Shiv Kumar Sahu . Max-Min Ant System based Approach for Intelligent VM Migration and Consolidation for Green Cloud Computing. International Journal of Computer Applications. 136, 13 ( February 2016), 15-18. DOI=10.5120/ijca2016908629

@article{ 10.5120/ijca2016908629,
author = { Reena Sarathe, Amit Mishra, Shiv Kumar Sahu },
title = { Max-Min Ant System based Approach for Intelligent VM Migration and Consolidation for Green Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 136 },
number = { 13 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 15-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume136/number13/24213-2016908629/ },
doi = { 10.5120/ijca2016908629 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:36:59.636326+05:30
%A Reena Sarathe
%A Amit Mishra
%A Shiv Kumar Sahu
%T Max-Min Ant System based Approach for Intelligent VM Migration and Consolidation for Green Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 136
%N 13
%P 15-18
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing has bring a revolution in the field of computing. Many algorithms are proposed to make it even more efficient. In cloud computing Virtualization plays an important role and whole performance of cloud depends on VM allocation and Migration. As lots of energy is consumed in this technology so algorithms to save energy and improve efficiency are proposed called Green algorithms. In this paper a green algorithm for VM Migration is proposed using meta-heuristic algorithm called ACO. The variant of ACO used in this paper is Max-Min Ant System. Results show that Max-Min Ant System gives best result as compared to other approaches in terms of VM Migrations, VM consolidation and energy consumptions.

References
  1. Komal Singh Patel and A. K. Sarje, “VM Provisioning Method to Improve the Profit and SLA Violation of Cloud Service Providers,” IEEE International Conference, Cloud Computing in Emerging Markets (CCEM) 11-12 Oct. 2012.
  2. K. S. Patel and A.K. Sarje, “VM Provisioning Policies to Improve the Profit of Cloud Infrastructure Service Providers,” ICCCNT-12, July.2012.
  3. Gundeep Singh Bindra, Prashant Kumar Singh,Seema Khanna,Krishen Kant Kandwal, “Cloud Security : Analysis and Risk Management of VM Images,” Proceeding of IEEE International Conference on Information and Automation Shenyang, China, June 2012.
  4. Eeraj Jan Qaisar, “Introduction to Cloud Computing for Developers,” In IEEE ©2012.
  5. A. Beloglazov, R. Buyya, “Optimal Online Deterministic Algorithms and Adaptive Heuristics for Energy and Performance Efficient Dynamic Consolidation of Virtual Machines in Cloud Data Centers,” Concurrency and Computation: Practice and Experience (CCPE), Wiley Press, New York, USA, Sep. 2012, pp. 1397–1420, doi: 10.1002/cpe.1867.
  6. Zhibo Cao and ShoubinDong , “Dynamic VM consolidation for energy-aware and SLA violation reduction in cloud computing,” 13th International Conference on Parallel and Distributed Computing, Applications and Technologies 2012.
  7. YonggenGu, Wei Zhang, YonggenGu, Jie Tao, “A Study of SLA Violation Compensation Mechanism in Complex Cloud Computing Environment,” In IEEE © 2012.
  8. C. Belady, “In the data center, power and cooling costs more than the equipment it supports,” 2007. URL http://www.electronicscooling.com/articles/2007/feb/a3/.
  9. http://en.wikipedia.org.
  10. http://www.sciencedirect.com/science/article/pii/S1877705811054117.
  11. David Aikema, AndreyMirtchovski, Cameron Kiddle, and Rob Simmonds "Green Cloud VM Migration: Power Use Analysis" in IEEE 2012.
  12. Saurabh Kumar Garg, Adel NadjaranToosi, Srinivasa K. Gopalaiyengar, RajkumarBuyya, “SLA-based virtual machine management for heterogeneous workloads in a cloud datacenter,” Journal of Network and Computer Applications 1 August 2014 .
  13. Rafid Sagban, Ku Ruhana Ku Mahamud, Muhamad Shahbani Abu Bakar "Reactive Memory Model for Ant Colony Optimization and Its Application to TSP" in 2014 IEEE International Conference on Control System, Computing and Engineering, 28 - 30 November 2014, Penang, Malaysia.
  14. M. Veluscek, T. Kalganova, P. Broomhead "Improving Ant Colony Optimization Performance through Prediction of Best Termination Condition" in IEEE 2015.
  15. Fahimeh Farahnakian, Adnan Ashraf, TapioPahikkala,PasiLiljeberg, JuhaPlosila, Ivan Porres, and HannuTenhunen "Using Ant Colony System to ConsolidateVMs for Green Cloud Computing" in IEEE TRANSACTIONS ON SERVICES COMPUTING, VOL. 8, NO. 2, MARCH/APRIL 2015.
  16. K. Mills, J. Filliben, and C. Dabrowski, “Comparing vm-placement algorithms for on-demand clouds,” in Proc. IEEE 3rd Int. Conf. Cloud Comput. Tech. Sci., 2011, pp. 91–98.
  17. H. Xu and B. Li, “Anchor: A versatile and efficient framework for resource management in the cloud,” IEEE Trans. Parallel Distrib. Syst., vol. 24, no. 6, pp. 1066–1076, Jun. 2013.
  18. S. Di and C.-L. Wang, “Dynamic optimization of multi-attribute resource allocation in self-organizing clouds,” IEEE Trans. Parallel Distrib. Syst., vol. 24, no. 3, pp. 464–478, Mar. 2013.
  19. S. Srikantaiah, A. Kansal, and F. Zhao, “Energy aware consolidation for cloud computing,” in Proc. Conf. Power Aware Comp. Syst., 2008, pp. 10–10.
  20. B. Speitkamp and M. Bichler, “A mathematical programming approach for server consolidation problems in virtualized data centers,” IEEE Trans. Serv. Comput., vol. 3, no. 4, pp. 266–278, Oct. 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Meta-heuristic Max-Min Ant System Virtual Machine (VM).

Powered by PhDFocusTM