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Pre-copy live virtual machine migration techniques in cloud computing using HDWHM algorithm

2023, vol.15 , no.1, pp. 89-100

Article [2023-01-09]

Authors
N. N. Devi
S. V. Kumar
Abstract

Live Virtual Machine (VM) migration is a legacy of server virtualization in cloud computing. One of the difficulties in a Virtual Machine (VM) Environment is load balancing, and the pre-copy migration strategy is both time-consuming and expensive. In this paper, we propose an efficient VM migration strategy to compute the parameters for Linear Adam Algorithm overload detection and Interquartile Range (IQR) under-loaded identification, the Central Processing Unit (CPU) utilization is sufficient. VMs require constant network traffic, storage, CPU, and memory demands. This study recommends using the novel Hamming Distance-Based Weighted Harmonic Mean (HDWHM) strategy for pre-copy live VM migration. We tested the suggested strategy using datasets from CloudSim-3.0.3 on a real PlanetLab. Simulations show that the suggested approach decreases host downtimes, energy consumption, VM migrations, and SLA degradation.

Keywords

cloud computing, LB, VM migration, pre-copy, SLA

DOI

https://doi.org/10.59035/ZGNK2556

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Citation of this article:

N. N. Devi, S. V. Kumar. Pre-copy live virtual machine migration techniques in cloud computing using HDWHM algorithm. International Journal on Information Technologies and Security, vol.15 , no.1, 2023, pp. 89-100. https://doi.org/10.59035/ZGNK2556