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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 4, 2022.
Abstract: Diversified systems hosted on cloud infrastructure have to work increasingly on physical servers. Cloud applications running on physical machines require diverse resources. The resource requirements of cloud applications are fluctuating based on the resource intensity of the applications. The multi-tenancy of Cloud servers can be achieved based on effective resource utilization. The optimum resource utilization, maximum service level agreement, and minimization of interference are the major objectives to be achieved. Using live Virtual Machine (VM) migration techniques cloud resources can be utilized efficiently. But the migrated VMs can interfere with the ongoing applications on the targeted server which may lead to the service level agreement violation (SLAV) and performance degradation. To resolve this issue, understanding the current state of cloud hosts before the allocation of newly migrated VM is necessary. This paper presents Interference Attentive Genetic Algorithm (IAGA) based VM allocation strategy to achieve the aforementioned objectives. The proposed IAGA policy has outperformed existing policies for quantifiable performance metrics such as energy consumed by cloud systems, count of hosts shut down, average SLAV, and count of VM migrations.
Tarannum Alimahmad Bloch, Sridaran Rajagopal and Prashanth C. Ranga, “IAGA: Interference Aware Genetic Algorithm based VM Allocation Policy for Cloud Systems” International Journal of Advanced Computer Science and Applications(IJACSA), 13(4), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130488
@article{Bloch2022,
title = {IAGA: Interference Aware Genetic Algorithm based VM Allocation Policy for Cloud Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130488},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130488},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {4},
author = {Tarannum Alimahmad Bloch and Sridaran Rajagopal and Prashanth C. Ranga}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.