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
Reseach Article

Energy Aware Virtual Machine Migration Techniques for Cloud Environment

by Kamali Gupta, Vijay Katiyar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 141 - Number 2
Year of Publication: 2016
Authors: Kamali Gupta, Vijay Katiyar
10.5120/ijca2016909551

Kamali Gupta, Vijay Katiyar . Energy Aware Virtual Machine Migration Techniques for Cloud Environment. International Journal of Computer Applications. 141, 2 ( May 2016), 11-16. DOI=10.5120/ijca2016909551

@article{ 10.5120/ijca2016909551,
author = { Kamali Gupta, Vijay Katiyar },
title = { Energy Aware Virtual Machine Migration Techniques for Cloud Environment },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 141 },
number = { 2 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 11-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume141/number2/24755-2016909551/ },
doi = { 10.5120/ijca2016909551 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:42:24.674867+05:30
%A Kamali Gupta
%A Vijay Katiyar
%T Energy Aware Virtual Machine Migration Techniques for Cloud Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 141
%N 2
%P 11-16
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud Computing offers indispensable infrastructure for storage and computing facilities for development of diversified services. The large utilization of resources leads to increased energy consumption that has imposed a limit on performance growth. Owing to high operational costs and carbon dioxide footprints, an efficient energy management technique needs to be developed and deployed that reduces overall energy consumption of a cloud environment while maximizing the resource utilization. In the first phase of this research, some virtual machine migration techniques were explored. In the second phase, a virtual machine migration technique has been implemented which aims at reducing energy consumption in cloud datacentres.

References
  1. S.Pinal, “ A Survey of Various Scheduling Algorithm in Cloud Computing Environment”, International Journal of Research in Engineering and Technology, ISSN 2319-1163, Volume 2, Issue (2), 2013, 131-135.
  2. S.Marston, Z. Li, S. Bandyopadhyay, J. Zhang and A. Ghalasi, “Cloud Compuating- The business perspective”, Decision Support Systems, Volume 51, Issue(1), 176-189, 2011.
  3. The NIST Definition of Cloud Computing, http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf.
  4. Z.Zhang, Richard T.B. Ma, J.Ding and Y.Yang, “ ABACUS: An Auction-Based Approach to Cloud Service Differentaition”, IEEE, International Conference on Cloud Engineering, 2013, 292-301.
  5. M.Durairaj and P.Kannan, “A Study on Virtualization Techniques and Challenges in Cloud Computing”, International Journal Of Scientific & Technology Research, Volume 3, Issue (11), 2014, 147-151.
  6. T. Veni and S. Mary, “Dynamic Energy Management in Cloud Data Centers: A Survey”, International Journal on Cloud Computing: Services and Architecture, Volume 3, Issue (4), 2013, 13-26.
  7. Pragya and G..Manjeet, “A Review on Energy Efficient Techniques in Green Cloud Computing”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5, Issue (3), 2015, 550-554.
  8. C. Gong, J. Liu, Q. Zhang, H. Chen, and Z. Gong, “The characteristics of cloud computing”, IEEE International Conference on Parallel Processing Workshops, 2010, 275-279.
  9. A. Younge, R. Henschel, T. Brown, G. Laszewski, J. Qiu and G. Fox, “Analysis of virtualization technologies for high performance computing environments”, IEEE, International Conference on  Cloud Computing, 2011, 9-16.
  10. R.Mietzner, T. Unger, R. Titze and F. Leymann, “Combining different multi-tenancy patterns in service-oriented applications”, IEEE International Conference on Enterprise Distributed Object Computing, 2009, 131-140.
  11. A.Carpen-Amarie, A.C. Orgerie and C.Morin, “Experimental Study on the Energy Consumption in IaaS Cloud Environments”,IEEE/ ACM 6th International Conference on Utility and Cloud Computing, 2013, 42-49.
  12. S.Jing, S.Ali, K.She and Y.Zhong, “State-of-the-art research study for green cloud computing”, Journal of Supercomputing, Vol. 65(1), 2013, 445-468.
  13. L.Deboosere, B.Vankeisbilck, P.Simeons, F.Turck, B.Dhoedt and P.Demeester, “Efficient resource management for virtual desktop cloud computing’, Journal of Supercomputing, Volume 62, Issue (2), 2012, 741-767.
  14. F.Fakhar, B.Javed, R.U.Rasool, O.Malik and K.Zulfiqar, “Software level green computing for large scale systems”, Journal of Cloud Computing:Advances, Systems and Applications, 2012.
  15. H. Aydin,R. G. Melhem, D. Mossé, and P. Mejía – Alvarez, “Power-Aware Scheduling for Periodic Real -Time Task”, IEEE, Transactions on Computers, Volume 53, Issue (5), 2004, 584-600.
  16. R.Buyya, A.Beloglazov and J.Abawajy, “ Energy-Efficient Management of Data Centre Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges”, Cloud Computing and Distributed Systems Laboratory, Australia, 2010, 1-12.
  17. D. Akshat and P. Sanchita, “A Survey of Energy Efficient Data Centres in a Cloud Computing Environment”, International Journal of Advanced Research in Computer and Communication Engineering, Volume 2, Issue(10), 2013, 4033-4040.
  18. K.Kamyab, “Role of Virtualization in Cloud Computing”, International Journal of Advance Research in Computer Science and Management Studies, Volume 2, Issue (4), 2014, 15-23.
  19. Y.Bhardwaj and M.Kaushik, “A Review Paper on Virtualization and Security in Cloud Computing”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, Issue (3), 2014, 324-327.
  20. F.Lombardi and R.D.Pietro, “Secure virtualization for Cloud Computing”, Journal of Network and Computer Applications, ELSEVIER, 2010,1-10.
  21. K.Gupta and V.K.Katiyar,, “Survey of Adaptive and Dynamic Management of Cloud Datacenters”, International Journal of Engineering Research and Applications,ISSN 2248-9622, 2014, 35-40.
  22. A.Uchechukwu, K.Li and Y.Shen, “Energy Consumption in Cloud Computing Data Centers”, International Journal of Cloud Computing and Services Science , Volume 3, Issue(3), June 2014, 145-162.
  23. A.Banerjee, P.Agrawal and N.Ch.S.N.Iyengar, “Energy Efficiency Model for Cloud Computing”, International Journal of Energy, Information and Communications, Volume 4, Issue (6) ,2013, 29-42.
  24. N.Tziritas,C.Z.Xu, T.Loukopoulos, S.U.Khan and Z.Yu, “Application-aware Workload Consolidation to Minimize both Energy Consumption and Network Load in Cloud Environments”, Chinese Academy of Sciences, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Virtualization Energy Management.