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Application of Improved K-Medians for VM Migration

Palash Soni1 , Ankur Mudgal2

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-10 , Page no. 58-63, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si10.5863

Online published on May 05, 2019

Copyright © Palash Soni, Ankur Mudgal . 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: Palash Soni, Ankur Mudgal, “Application of Improved K-Medians for VM Migration,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.10, pp.58-63, 2019.

MLA Style Citation: Palash Soni, Ankur Mudgal "Application of Improved K-Medians for VM Migration." International Journal of Computer Sciences and Engineering 07.10 (2019): 58-63.

APA Style Citation: Palash Soni, Ankur Mudgal, (2019). Application of Improved K-Medians for VM Migration. International Journal of Computer Sciences and Engineering, 07(10), 58-63.

BibTex Style Citation:
@article{Soni_2019,
author = {Palash Soni, Ankur Mudgal},
title = {Application of Improved K-Medians for VM Migration},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {10},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {58-63},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=974},
doi = {https://doi.org/10.26438/ijcse/v7i10.5863}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i10.5863}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=974
TI - Application of Improved K-Medians for VM Migration
T2 - International Journal of Computer Sciences and Engineering
AU - Palash Soni, Ankur Mudgal
PY - 2019
DA - 2019/05/05
PB - IJCSE, Indore, INDIA
SP - 58-63
IS - 10
VL - 07
SN - 2347-2693
ER -

           

Abstract

Use of Data mining techniques for managing Virtual Machine migration has been used in the past. Many researchers have applied different data mining techniques for the same and has been proven to be encouraging. Specially in cloud environment where thousands of virtual machines are employed at a time. For this proactive evaluation methods has been used by many researchers In this paper, such methods have been studied and improved k-median technique has been proposed for such migration. The results obtained discussed are showing better accuracy and performance.

Key-Words / Index Term

Cloud Computing, Fault Tolerance, Virtual Machines Migration, Resource Management

References

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