Open Access   Article Go Back

An Efficient Virtual Machine Management to Achieve Energy Efficiency in Cloud Computing

Nital Patel1 , Nimisha Patel2 , Rajan Patel3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 291-296, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.291296

Online published on Mar 31, 2019

Copyright © Nital Patel, Nimisha Patel, Rajan Patel . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Nital Patel, Nimisha Patel, Rajan Patel, “An Efficient Virtual Machine Management to Achieve Energy Efficiency in Cloud Computing,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.291-296, 2019.

MLA Style Citation: Nital Patel, Nimisha Patel, Rajan Patel "An Efficient Virtual Machine Management to Achieve Energy Efficiency in Cloud Computing." International Journal of Computer Sciences and Engineering 7.3 (2019): 291-296.

APA Style Citation: Nital Patel, Nimisha Patel, Rajan Patel, (2019). An Efficient Virtual Machine Management to Achieve Energy Efficiency in Cloud Computing. International Journal of Computer Sciences and Engineering, 7(3), 291-296.

BibTex Style Citation:
@article{Patel_2019,
author = {Nital Patel, Nimisha Patel, Rajan Patel},
title = {An Efficient Virtual Machine Management to Achieve Energy Efficiency in Cloud Computing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {291-296},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3833},
doi = {https://doi.org/10.26438/ijcse/v7i3.291296}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.291296}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3833
TI - An Efficient Virtual Machine Management to Achieve Energy Efficiency in Cloud Computing
T2 - International Journal of Computer Sciences and Engineering
AU - Nital Patel, Nimisha Patel, Rajan Patel
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 291-296
IS - 3
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
431 357 downloads 169 downloads
  
  
           

Abstract

Cloud computing has revolutionized the information technology industry by empowering versatile on-demand provisioning of computing resources. Rapid growth of demand for computational power by scientific, business and web applications has led to the creation of large scale data centers consuming enormous amounts of electrical power. How to exert energy and handle the issue concerned with energy efficiency has been the most important matter of Green Cloud Computing. This research presents the novel technique and algorithm for the Efficient Virtual Machine Management to achieve energy efficiency. Proper Virtual Machine Management is done by proper VM allocation. The overloaded host detection, VM selection, VM placement and at last under loaded host detection are four major steps carried out throughout the research. This is aimed for saving the energy and makes the virtual machine management efficient. According to the proposed work when any of the host will be shut down at the end of process the energy will not be used more and it will be saved.

Key-Words / Index Term

Virtual Machine Management, Virtual machine, Cloud Computing, Virtualization, Power Consumption

References

[1]. National Institute of Standards and Technology. The NIST definition of cloud computing. http://www.nist.gov/itl/cloud/
[2]. R. Buyya, C. Yeo, S. Venugopal, J. Broberg and I. Brandic, “Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility,” Future Generation Computer Systems 25 (6) pp. 599– 616, 2009.
[3]. Abaslom Et-Shamir Ezugwu, Sahalu Junaidu, Seyed Buhari,”Virtual Machine Allocation in Cloud Computing” International Journal of Cloud Applications and Computing, 3(2), 47-60, April-June 2013
[4]. Shin-ichi Kuribayashi” Reducing Total Power Consumption Method in Cloud Computing Environments” International Journal of Computer Networks & Communications (IJCNC) Vol.4, No.2, March 2012
[5]. HarmanPreet Kaur, Jasmeet Singh Gurm,” A Survey on the Power and Energy Consumption of Cloud Computing” International Journal of Computer Science Trends and Technology (IJCST) – Volume 3 Issue 3, May-June 2015
[6]. Rakesh Kumar Vishwarkarma1 , Dr. Syed Imran Ali2 , Anidra Katiyar” Energy Efficient Dynamic Resource Scheduling for Cloud Data Center” International Journal of Recent Development in Engineering and Technology (ISSN 2347-6435(Online) Volume 5, Issue 7, July 2016)
[7]. Yen, J.-L Yang, M.-J- Yang, Chao-Tung,” Power-Saving Management for Energy-Efficient Green Clouds ” 2014/05/01, 381, 389, Journal of Internet Technology, 15 10.6138/JIT.2014.15.3.07
[8]. Olayinka Adeleye” Energy Efficient Virtual Machine Management for Cloud Computing: A Survey” Department of Computer Engineering Federal University Oye-Ekiti, Nigeria International Journal of Scientific & Engineering Research, Volume 6, Issue 11, November-2015
[9]. Anton Beloglazov and Rajkumar Buyya” Energy Efficient Resource Management in Virtualized Cloud Data Centers” cloud Computing and Distributed Systems (CLOUDS) Laboratory Department of Computer Science and Software Engineering The University of Melbourne, Australia
[10]. Chao-Tung Yang,, Jung-Chun Liu, Kuan-Lung Huang, Fuu-Cheng Jiang” A method for managing green power of a virtual machine clustering cloud” Department of Computer Science, Tunghai University, Taichung 40704,taiwan Future Generation Computer Systems 37 (2014) 26–36
[11]. Anton Benglov and Rajkumar Bhuya, “Optimal Online Deterministic Algorithms and Adaptive Heuristics for Energy and Performance Efficient Dynamic Consolidation of Virtual Machines in Cloud Data Centers” DOI: 10.1002/cpe.1867
[12]. Anup H. Gade Shri Ram Institute of Technology, Jabalpur” A Survey paper on Cloud Computing and its effective utilization with Virtualization” International Journal of Scientific & Engineering Research, Volume 4, Issue 12, December-2013