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

Energy-Efficient Scheduling Scheme for Virtual Machines in Cloud Computing

by Shailesh S.Deore, Ashok Narayan Patil
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 10
Year of Publication: 2012
Authors: Shailesh S.Deore, Ashok Narayan Patil
10.5120/8926-2999

Shailesh S.Deore, Ashok Narayan Patil . Energy-Efficient Scheduling Scheme for Virtual Machines in Cloud Computing. International Journal of Computer Applications. 56, 10 ( October 2012), 19-25. DOI=10.5120/8926-2999

@article{ 10.5120/8926-2999,
author = { Shailesh S.Deore, Ashok Narayan Patil },
title = { Energy-Efficient Scheduling Scheme for Virtual Machines in Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 56 },
number = { 10 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 19-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number10/8926-2999/ },
doi = { 10.5120/8926-2999 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:58:28.327357+05:30
%A Shailesh S.Deore
%A Ashok Narayan Patil
%T Energy-Efficient Scheduling Scheme for Virtual Machines in Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 10
%P 19-25
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A Cloud Computing is subscription-based service where we obtain networked storage space and computer resources. Technologies such as cluster, grid, and now cloud computing are decide allowing access large amounts computing power in fully, para-virtulized manner by amassed resources i. e. virtual machines to consumer. Cloud computing denotes energy efficiency in all components of computing systems that is hardware, software, local area network. Energy computing has to achieve manifold objectives of energy consumption and utilization improvement for computing paradigm that are not pay-per-use such as cluster and grid revenue maximization as another metric for cloud computing architecture. Microsoft Corporation provides Joule meter tool to measuring energy of computing software devices, for researcher to observe energy conservation and consumption [10],[14]. This paper we proposed Energy-Efficient Scheduling Scheme call EESS for virtual machines that distribute maximum workload on minimum number of virtual machine's so less amount of energy consume, to test the scheme cloud environment created using VirtualBox.

References
  1. Susane Albers (2010),"Energy efficient algorithms", Communication of ACM, vol. 53 No. 5, 86-96.
  2. Jiandun Li, Junjie Peng, Wu Zhang (2011),"An Energy- efficient Scheduling Approach Based on Private Clouds" , Journal of Information & Computational Science ,volume 8, Number 4 , 716-724.
  3. Jiandun Li, Junjie Peng, Wu Zhang (2011), "A Scheduling Algorithm for Private Clouds", Journal of Convergence Information Technology, Volume 6, Number 7, 1-9.
  4. Saurabh Kumar Garg, Chee Shin Yeo, Arun Anandasivam, Rajkumar Buyya (2011) ,"Environment-conscious scheduling of HPC applications on distributed cloud-oriented data centers ", Journal of Parallel and Distributed Computing, vol. 71, no. 6, 732-749.
  5. Akshat Verma, Puneet Ahuja, Anindya Neogi (2008), "Power-aware dynamic placement of HPC applications", Proceedings of the 22nd International Conference on Supercomputing (ICS'08),Island of Kos, 175-184.
  6. Chuling Weng, Zhigang Wang, Minglu Li, and Xinda Lu (2009), "The Hybrid Scheduling Framework for Virtual Machine Systems ,"Proc. Conf. VEE09, 113-120.
  7. Gaurav Dhiman ,Giacomo Marchetti ,Tajana Rosing (2009),"vGreen: A System for Energy Efficient Computing in Virtualized Environments ", In conference of ISLPED 2009 San Francisco,California ,USA,19-21.
  8. Gregor von Laszewski ,LizheWang ,Andrew J. Younge ,Xi He (2009) ,"Power-Aware Scheduling of Virtual Machines in DVFS-enabled clusters" ,cluster 09 IEEE international on Cluster , 1-11.
  9. Bo Li, Jianxin Li, Jinpeng Huai, Tianyu Wo, Qin Li,Liang Zhong (2009) , "EnaCloud:An Enegy-saving Application Live Placement Approach for Cloud Computing Enviorments" ,In IEEE Intenational Conference on cloud Computing 200, 17-24.
  10. Aman kansal, Feng Zhao, jie Liu, Nupur Kothari, Arka A. Bhattacharya (2010), "Virtual machine power metering and provisioning", copyright 2010 ACM.
  11. Tami Tamir(2011),"Scheduling with bully selfish jobs"
  12. Pradeep Kumar Sharma, Chandana Das (2012),"Energy efficient scheduling in cloud computing", Inventi Impact: Cloud Computing, Vol. 2012 , Article ID- Inventi:ecc/30/12.
  13. VirtualBox website: www. Virtualbox. org.
  14. Joulemeter website available on :http://research. microsoft. com/en-us/default. aspx
  15. Physics conversation website: www. physics. org.
  16. Scheduling algorithms available on website: http://en. wikipedia. org/wiki/First-come,_first-served.
  17. KVM Project, Kernal based virtual machine available on: http://www. linux-kvm. org
  18. Round robin algorithm available on website: http://en. wikipedia. org/wiki/Round-robin_scheduling
  19. Shailesh Deore, A. N. Patil, Ruchira bhargava (2012),"systematic review of Energy-Efficient scheduling Techniques in cloud computing ", International journal of Computer applications, volume 52, number 15 .
  20. Rajkumar Buyya, James Broberg, Andrzej Goscinski (2011), "CLOUD COMPUTING:Principles and Paradigms " , A Jhon Wiley & Sons, Inc. Publication.
  21. I. Foster (2003), "The grid: Computing without bounds", scientific American , vol. 288, No. 4,PP. 78-85.
  22. R. Buyya, C. S. Yeo, S. Venugopal, J. Brogerg (2009),"Cloud computing and emerging IT platforms: Vision, hype, and reability for delivering comouting as 5th utility", Future generation computer system,25:599-616.
  23. L. M. Vaquero, L. Rodero-Merino, J. Caceres, and M. Lindner (2009),"A break in clouds: Towards a cloud definition", SIGCOMM computer communications Review, 39:50-55.
  24. McKinsey and Co. (2009), "Clearing the Air on Cloud computing " , Technical report.
  25. VMware Inc. VMware high availability(HA), http://www. vmware. com
  26. V. Buge, Y. Kemp, M. Kunze, and G. Quest (2006), "Application of Virtulisation Techniques at a University Grid center", e-Science, 155-155.
  27. R. V. Patil, K. C. Jondhale (2010)," Edge based technique to estimate number of clusters in k-means color image segmentation", IEEE Internatinal conference on Computer Sciene and Information Technology, Chengdu , China, vol. 2, pp. 117-121
  28. P. S. Patil, S. R. Kolhe, R. V. Patil, P. M. Patil (2012) , "Performance Evaluation in Iris Recognition and CBIR System based on phase congruency", International Journal of Computer Applications, 47(14), 13-18.
  29. R. P. Goldberg (1974),"A Survey of virtual machine research",IEEE Computer, 7(6):34-45.
  30. L. Youseff, M. Butrico, D,Da Silva (2008),"Towared a unified ontology of cloud computing", In proceeding of green computing workshop,pp 1-10.
Index Terms

Computer Science
Information Sciences

Keywords

Virtual machine request virtual machine energy Workload EESS VM VM request power.

Powered by PhDFocusTM