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Reducing Energy Efficiency through Virtual Machine Migration

P.S.S. Akilasri1 , K. Meenakshi2

Section:Survey Paper, Product Type: Journal Paper
Volume-06 , Issue-11 , Page no. 180-183, Dec-2018

Online published on Dec 31, 2018

Copyright © P.S.S. Akilasri, K. Meenakshi . 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.

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IEEE Style Citation: P.S.S. Akilasri, K. Meenakshi, “Reducing Energy Efficiency through Virtual Machine Migration,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.11, pp.180-183, 2018.

MLA Style Citation: P.S.S. Akilasri, K. Meenakshi "Reducing Energy Efficiency through Virtual Machine Migration." International Journal of Computer Sciences and Engineering 06.11 (2018): 180-183.

APA Style Citation: P.S.S. Akilasri, K. Meenakshi, (2018). Reducing Energy Efficiency through Virtual Machine Migration. International Journal of Computer Sciences and Engineering, 06(11), 180-183.

BibTex Style Citation:
@article{Akilasri_2018,
author = {P.S.S. Akilasri, K. Meenakshi},
title = {Reducing Energy Efficiency through Virtual Machine Migration},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {06},
Issue = {11},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {180-183},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=567},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=567
TI - Reducing Energy Efficiency through Virtual Machine Migration
T2 - International Journal of Computer Sciences and Engineering
AU - P.S.S. Akilasri, K. Meenakshi
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 180-183
IS - 11
VL - 06
SN - 2347-2693
ER -

           

Abstract

Cloud Computing is one of the important fields in today’s computer world. Many data are being entered in to the cloud network from time to time. As a result, the traffic in the cloud system is also increased. To reduce the energy many algorithms are used. The Virtual Machine Migration algorithm is an algorithm which helps in reducing the energy to a greater deal. The data passed through the cloud through various users are measured and the time efficiency is found and discussed.

Key-Words / Index Term

Cloud Computing, Machine Migration, Virtual data

References

[1] A. Ali-Eldin, J. Tordsson, and E. Elmroth, “An adaptive hybrid elasticity controller for cloud infrastructures,” in Proc. Of Network Operations and Management Symposium (NOMS), 2012, pp. 204–212.
[2] A. Sulistio, K. H. Kim, and R. Buyya, “Managing cancellations and no-shows of reservations with overbooking to increase resource revenue,” in Proc. of Intl. Symposium on Cluster Computing and the Grid (CCGrid), 2008, pp. 267–276.
[3] L. Tom´as and J. Tordsson, “Improving Cloud Infrastructure Utilization through Overbooking,” in Proc. of ACM Cloud and Autonomic Computing Conference (CAC), 2013.
[4] “Cloudy with a chance of load spikes: Admission control with fuzzy risk assessments,” in Proc. of 6th IEEE/ACM Intl. Conference on Utility and Cloud Computing, 2013, pp. 155–162.
[5] K. J. A° stro¨m and R. M. Murray, Feedback Systems: An Introduction for Scientists and Engineers. Princeton University Press, 2008.