Dynamic Swarm Based Virtual Machine Selection for Optimizing Execution Time and Fault Tolerance Rate
Manjot Kaur1 , Kamaljit Kaur2
Section:Research Paper, Product Type: Journal Paper
Volume-7 ,
Issue-5 , Page no. 1136-1147, May-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i5.11361147
Online published on May 31, 2019
Copyright © Manjot Kaur, Kamaljit Kaur . 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: Manjot Kaur, Kamaljit Kaur, “Dynamic Swarm Based Virtual Machine Selection for Optimizing Execution Time and Fault Tolerance Rate,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1136-1147, 2019.
MLA Style Citation: Manjot Kaur, Kamaljit Kaur "Dynamic Swarm Based Virtual Machine Selection for Optimizing Execution Time and Fault Tolerance Rate." International Journal of Computer Sciences and Engineering 7.5 (2019): 1136-1147.
APA Style Citation: Manjot Kaur, Kamaljit Kaur, (2019). Dynamic Swarm Based Virtual Machine Selection for Optimizing Execution Time and Fault Tolerance Rate. International Journal of Computer Sciences and Engineering, 7(5), 1136-1147.
BibTex Style Citation:
@article{Kaur_2019,
author = {Manjot Kaur, Kamaljit Kaur},
title = {Dynamic Swarm Based Virtual Machine Selection for Optimizing Execution Time and Fault Tolerance Rate},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1136-1147},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4375},
doi = {https://doi.org/10.26438/ijcse/v7i5.11361147}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.11361147}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4375
TI - Dynamic Swarm Based Virtual Machine Selection for Optimizing Execution Time and Fault Tolerance Rate
T2 - International Journal of Computer Sciences and Engineering
AU - Manjot Kaur, Kamaljit Kaur
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1136-1147
IS - 5
VL - 7
SN - 2347-2693
ER -
VIEWS | XML | |
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Abstract
Fault tolerance mechanism employed in the cloud is state of the art problem to ensure reliability of cloud. The proposed work increases reliability of cloud by using swarm optimization based vm allocation policy. Sole PSO approach also selects optimal virtual machine for load allocation but once virtual machine has been selected than that vm is maintained within vm list at top place. Although vm resources may be less due to allocation hence starvation could be the problem. This problem is rectified using dynamic VM selection policy in which number of vm to be selected is reduced as vm at every phase is changed and hence less migration and downtime is obtained. In addition execution time and energy consumed is also affected by dynamic PSO approach.
Key-Words / Index Term
Fault Tolerance, PSO, Consolidation, Energy Efficient
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