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Vikas Mongia1
1 Department of Computer Science, Guru Nanak College, Moga, Panjab- India.
Section:Research Paper, Product Type: Journal
Vol.10 ,
Issue.1 , pp.17-20, Mar-2022
Online published on Mar 31, 2022
Copyright © Vikas Mongia . 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: Vikas Mongia, “Optimizing Resource Utilization in Cloud Networks: An Analysis of VM Selection and Placement Policies,” International Journal of Scientific Research in Network Security and Communication, Vol.10, Issue.1, pp.17-20, 2022.
MLA Style Citation: Vikas Mongia "Optimizing Resource Utilization in Cloud Networks: An Analysis of VM Selection and Placement Policies." International Journal of Scientific Research in Network Security and Communication 10.1 (2022): 17-20.
APA Style Citation: Vikas Mongia, (2022). Optimizing Resource Utilization in Cloud Networks: An Analysis of VM Selection and Placement Policies. International Journal of Scientific Research in Network Security and Communication, 10(1), 17-20.
BibTex Style Citation:
@article{Mongia_2022,
author = {Vikas Mongia},
title = {Optimizing Resource Utilization in Cloud Networks: An Analysis of VM Selection and Placement Policies},
journal = {International Journal of Scientific Research in Network Security and Communication},
issue_date = {3 2022},
volume = {10},
Issue = {1},
month = {3},
year = {2022},
issn = {2347-2693},
pages = {17-20},
url = {https://www.isroset.org/journal/IJSRNSC/full_paper_view.php?paper_id=428},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRNSC/full_paper_view.php?paper_id=428
TI - Optimizing Resource Utilization in Cloud Networks: An Analysis of VM Selection and Placement Policies
T2 - International Journal of Scientific Research in Network Security and Communication
AU - Vikas Mongia
PY - 2022
DA - 2022/03/31
PB - IJCSE, Indore, INDIA
SP - 17-20
IS - 1
VL - 10
SN - 2347-2693
ER -
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Abstract :
Cloud computing enables on-demand computing, providing users with elastic resources on a pay-as-you-go basis. The proliferation of data-driven applications and services has led to increased demand for computational resources, prompting the deployment of large data centers that consume significant amounts of energy and emit CO2 into the environment. As VM placement and selection significantly impact energy consumption, this paper explores various benchmark algorithms for VM selection and placement policies, evaluating their performance based on SLA violations, energy consumption, and the number of migrations. The study utilizes the cloudsim toolkit and analyzes real workloads from the CoMon project.
Key-Words / Index Term :
Energy efficiency, VM selection, VM placement, service level agreement, number of migrations
References :
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