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Improvement for tasks allocation system in VM for cloud datacenter using modified bat algorithm

Since its inception, cloud computing has greatly transformed our lives by connecting the entire world through shared computational resources over the internet. The COVID-19 pandemic has also disrupted the traditional learning and businesses and led us towards an era of cloud-based activities. Virtua...

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Detalles Bibliográficos
Autores principales: Ullah, Arif, Chakir, Aziza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977130/
https://www.ncbi.nlm.nih.gov/pubmed/35401026
http://dx.doi.org/10.1007/s11042-022-12904-1
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author Ullah, Arif
Chakir, Aziza
author_facet Ullah, Arif
Chakir, Aziza
author_sort Ullah, Arif
collection PubMed
description Since its inception, cloud computing has greatly transformed our lives by connecting the entire world through shared computational resources over the internet. The COVID-19 pandemic has also disrupted the traditional learning and businesses and led us towards an era of cloud-based activities. Virtual machine is one of the main elements of virtualization in cloud computing that represents physical server into the virtual machine. The utilizations of these VM’s are important to achieved effective task scheduling mechanism in cloud environment. This paper focuses on improvment of the task distribution system in VM for cloud computing using load balancing technique. For that reason modification took place at Bat algorithm fitness function value this section used in load balancer section. When algorithm iteration are complete then time to distribute the task among different VM therefore in this section of algorithm was modified. The second modification took place at the search process of Bat at dimension section. The proposed algorithm is known as modified Bat algorithm. Four parameter are used to check the performance of the system which are throughput, makespan, degree of imbalance and processing time. The proposed algorithm provides efficient result as compaire to other standard technique. Hence the proposed algorithm improved cloud data center accuracy and efficiency.
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spelling pubmed-89771302022-04-04 Improvement for tasks allocation system in VM for cloud datacenter using modified bat algorithm Ullah, Arif Chakir, Aziza Multimed Tools Appl Article Since its inception, cloud computing has greatly transformed our lives by connecting the entire world through shared computational resources over the internet. The COVID-19 pandemic has also disrupted the traditional learning and businesses and led us towards an era of cloud-based activities. Virtual machine is one of the main elements of virtualization in cloud computing that represents physical server into the virtual machine. The utilizations of these VM’s are important to achieved effective task scheduling mechanism in cloud environment. This paper focuses on improvment of the task distribution system in VM for cloud computing using load balancing technique. For that reason modification took place at Bat algorithm fitness function value this section used in load balancer section. When algorithm iteration are complete then time to distribute the task among different VM therefore in this section of algorithm was modified. The second modification took place at the search process of Bat at dimension section. The proposed algorithm is known as modified Bat algorithm. Four parameter are used to check the performance of the system which are throughput, makespan, degree of imbalance and processing time. The proposed algorithm provides efficient result as compaire to other standard technique. Hence the proposed algorithm improved cloud data center accuracy and efficiency. Springer US 2022-04-04 2022 /pmc/articles/PMC8977130/ /pubmed/35401026 http://dx.doi.org/10.1007/s11042-022-12904-1 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Ullah, Arif
Chakir, Aziza
Improvement for tasks allocation system in VM for cloud datacenter using modified bat algorithm
title Improvement for tasks allocation system in VM for cloud datacenter using modified bat algorithm
title_full Improvement for tasks allocation system in VM for cloud datacenter using modified bat algorithm
title_fullStr Improvement for tasks allocation system in VM for cloud datacenter using modified bat algorithm
title_full_unstemmed Improvement for tasks allocation system in VM for cloud datacenter using modified bat algorithm
title_short Improvement for tasks allocation system in VM for cloud datacenter using modified bat algorithm
title_sort improvement for tasks allocation system in vm for cloud datacenter using modified bat algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977130/
https://www.ncbi.nlm.nih.gov/pubmed/35401026
http://dx.doi.org/10.1007/s11042-022-12904-1
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