An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms

Cloud technology is a utility where different hardware and software resources are accessed on pay-per-user ground base. Most of these resources are available in virtualized form and virtual machine (VM) is one of the main elements of visualization. In virtualization, a physical server changes in...

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Main Author:	Ullah, Arif
Format:	Thesis
Language:	English English English
Published:	2021
Subjects:	QA75 Electronic computers Computer science T Technology (General)
Online Access:	http://eprints.uthm.edu.my/4884/1/24p%20ARIF%20ULLAH.pdf http://eprints.uthm.edu.my/4884/2/ARIF%20ULLAH%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/4884/3/ARIF%20ULLAH%20WATERMARK.pdf
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record_format	uketd_dc
spelling	my-uthm-ep.48842022-02-03T03:08:06Z An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms 2021-08 Ullah, Arif QA75 Electronic computers. Computer science T Technology (General) Cloud technology is a utility where different hardware and software resources are accessed on pay-per-user ground base. Most of these resources are available in virtualized form and virtual machine (VM) is one of the main elements of visualization. In virtualization, a physical server changes into the virtual machine (VM) and acts as a physical server. Due to the large number of users sometimes the task sent by the user to cloud causes the VM to be under loaded or overloaded. This system state happens due to poor task allocation process in VM and causes the system failure or user tasks delayed. For the improvement of task allocation, several load balancing techniques are introduced in a cloud but stills the system failure occurs. Therefore, to overcome these problems, this study proposed an improved dynamic load balancing technique known as HBAC algorithm which dynamically allocates task by hybridizing Artificial Bee Colony (ABC) algorithm with Bat algorithm. The proposed HBAC algorithm was tested and compared with other stateof-the-art algorithms on 200 to 2000 even tasks by using CloudSim on standard workload format (SWF) data sets file size (200kb and 400kb). The proposed HBAC showed an improved accuracy rate in task distribution and reduced the makespan of VM in a cloud data center. Based on the ANOVA comparison test results, a 1.25 percent improvement on accuracy and 0.98 percent reduced makespan on task allocation system of VM in cloud computing is observed with the proposed HBAC algorithm. 2021-08 Thesis http://eprints.uthm.edu.my/4884/ http://eprints.uthm.edu.my/4884/1/24p%20ARIF%20ULLAH.pdf text en public http://eprints.uthm.edu.my/4884/2/ARIF%20ULLAH%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/4884/3/ARIF%20ULLAH%20WATERMARK.pdf text en validuser phd doctoral Universiti Tun Hussein Malaysia Fakulti Sains Komputer dan Teknologi Maklumat
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	QA75 Electronic computers Computer science T Technology (General)
spellingShingle	QA75 Electronic computers Computer science T Technology (General) Ullah, Arif An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms
description	Cloud technology is a utility where different hardware and software resources are accessed on pay-per-user ground base. Most of these resources are available in virtualized form and virtual machine (VM) is one of the main elements of visualization. In virtualization, a physical server changes into the virtual machine (VM) and acts as a physical server. Due to the large number of users sometimes the task sent by the user to cloud causes the VM to be under loaded or overloaded. This system state happens due to poor task allocation process in VM and causes the system failure or user tasks delayed. For the improvement of task allocation, several load balancing techniques are introduced in a cloud but stills the system failure occurs. Therefore, to overcome these problems, this study proposed an improved dynamic load balancing technique known as HBAC algorithm which dynamically allocates task by hybridizing Artificial Bee Colony (ABC) algorithm with Bat algorithm. The proposed HBAC algorithm was tested and compared with other stateof-the-art algorithms on 200 to 2000 even tasks by using CloudSim on standard workload format (SWF) data sets file size (200kb and 400kb). The proposed HBAC showed an improved accuracy rate in task distribution and reduced the makespan of VM in a cloud data center. Based on the ANOVA comparison test results, a 1.25 percent improvement on accuracy and 0.98 percent reduced makespan on task allocation system of VM in cloud computing is observed with the proposed HBAC algorithm.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Ullah, Arif
author_facet	Ullah, Arif
author_sort	Ullah, Arif
title	An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms
title_short	An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms
title_full	An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms
title_fullStr	An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms
title_full_unstemmed	An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms
title_sort	improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms
granting_institution	Universiti Tun Hussein Malaysia
granting_department	Fakulti Sains Komputer dan Teknologi Maklumat
publishDate	2021
url	http://eprints.uthm.edu.my/4884/1/24p%20ARIF%20ULLAH.pdf http://eprints.uthm.edu.my/4884/2/ARIF%20ULLAH%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/4884/3/ARIF%20ULLAH%20WATERMARK.pdf
_version_	1747831058076794880

An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms

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