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Optimal Virtual Machine Allocation and Migration Model Based on PCA-BFD

R. Garg1

  1. Computer Science, Guru Nanak College, Moga, Panjab University Chandigarh, India.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 704-707, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.704707

Online published on May 31, 2018

Copyright © R. Garg . 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: R. Garg, “Optimal Virtual Machine Allocation and Migration Model Based on PCA-BFD,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.704-707, 2018.

MLA Style Citation: R. Garg "Optimal Virtual Machine Allocation and Migration Model Based on PCA-BFD." International Journal of Computer Sciences and Engineering 6.5 (2018): 704-707.

APA Style Citation: R. Garg, (2018). Optimal Virtual Machine Allocation and Migration Model Based on PCA-BFD. International Journal of Computer Sciences and Engineering, 6(5), 704-707.

BibTex Style Citation:
@article{Garg_2018,
author = {R. Garg},
title = {Optimal Virtual Machine Allocation and Migration Model Based on PCA-BFD},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {704-707},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2046},
doi = {https://doi.org/10.26438/ijcse/v6i5.704707}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.704707}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2046
TI - Optimal Virtual Machine Allocation and Migration Model Based on PCA-BFD
T2 - International Journal of Computer Sciences and Engineering
AU - R. Garg
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 704-707
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

This paper comprises of two sections, in the first section study the various energy aware best fit decreasing algorithms like BFD, MBFD, PCA-BFD, and EPOBF, and comparison has been done on the basis of past data. Study shows that PCA-BFD is the best algorithm for energy efficiency. In the second part of this paper PCA-BFD is used for migration purpose. First of all load of all host are evaluated and find the overloaded and under loaded server known as hot-spot node. That node whose load is balanced is considered as non hot-spot node. Virtual machines in hot-spot nodes are sorted in descending order so those high power consumption nodes migrate first. Non hot-spot nodes are sorted in ascending order so low power consumption server are firstly filled.

Key-Words / Index Term

energy efficiency, PCA-BFD, migration, allocation, load balancing

References

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