Migration-Based Load Balance of Virtual Machine Servers in Cloud Computing by Load Prediction Using Genetic-Based Methods
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @Article{Hung:2021:ACC,
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author = "Lung-Hsuan Hung and Chih-Hung Wu and
Chiung-Hui Tsai and Hsiang-Cheh Huang",
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journal = "IEEE Access",
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title = "Migration-Based Load Balance of Virtual Machine
Servers in Cloud Computing by Load Prediction Using
Genetic-Based Methods",
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year = "2021",
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volume = "9",
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pages = "49760--49773",
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abstract = "This paper presents a two-stage genetic mechanism for
the migration-based load balance of virtual machine
hosts (VMHs) in cloud computing. Previous methods
usually assume this issue as a job-assignment
optimisation problem and only consider the current
VMHs' loads; however, without considering loads of VMHs
after balancing, these methods can only gain limited
effectiveness in real environments. In this study, two
genetic-based methods are integrated and presented.
First, performance models of virtual machines (VMs) are
extracted from their creating parameters and
corresponding performance measured in a cloud computing
environment. The gene expression programming (GEP) is
applied for generating symbolic regression models that
describe the performance of VMs and are used for
predicting loads of VMHs after load-balance. Secondly,
with the VMH loads estimated by GEP, the genetic
algorithm considers the current and the future loads of
VMHs and decides an optimal VM-VMH assignment for
migrating VMs and performing load-balance. The
performance of the proposed methods is evaluated in a
real cloud-computing environment, Jnet, wherein these
methods are implemented as a centralized load balancing
mechanism. The experimental results show that our
method outperforms previous methods, such as heuristics
and statistics regression.",
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keywords = "genetic algorithms, genetic programming, gene
expression programming, Cloud computing, Load
management, Hardware, Virtualization, Servers,
Computational modelling, Virtual machine monitors,
Cloud computing, virtualization, load balancing,
migration",
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DOI = "doi:10.1109/ACCESS.2021.3065170",
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ISSN = "2169-3536",
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notes = "Also known as \cite{9374470}",
- }
Genetic Programming entries for
Lung-Hsuan Hung
Chih-Hung Wu
Chiung-Hui Tsai
Hsiang-Cheh Huang
Citations