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Reseach Article

Development of a High Performance Toolkit for Modelling and Simulating Cloud Computing Environment and Application

by Mary T. Kinga, Sunday O. Adewale, Folasade M. Dahunsi
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 39
Year of Publication: 2023
Authors: Mary T. Kinga, Sunday O. Adewale, Folasade M. Dahunsi

Mary T. Kinga, Sunday O. Adewale, Folasade M. Dahunsi . Development of a High Performance Toolkit for Modelling and Simulating Cloud Computing Environment and Application. Communications on Applied Electronics. 7, 39 ( Aug 2023), 1-15. DOI=10.5120/cae2023652900

@article{ 10.5120/cae2023652900,
author = { Mary T. Kinga, Sunday O. Adewale, Folasade M. Dahunsi },
title = { Development of a High Performance Toolkit for Modelling and Simulating Cloud Computing Environment and Application },
journal = { Communications on Applied Electronics },
issue_date = { Aug 2023 },
volume = { 7 },
number = { 39 },
month = { Aug },
year = { 2023 },
issn = { 2394-4714 },
pages = { 1-15 },
numpages = {9},
url = { http://localhost:9000/archives/volume7/number39/891-2023652900/ },
doi = { 10.5120/cae2023652900 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-09-04T20:04:06.923261+05:30
%A Mary T. Kinga
%A Sunday O. Adewale
%A Folasade M. Dahunsi
%T Development of a High Performance Toolkit for Modelling and Simulating Cloud Computing Environment and Application
%J Communications on Applied Electronics
%@ 2394-4714
%V 7
%N 39
%P 1-15
%D 2023
%I Foundation of Computer Science (FCS), NY, USA

Presently, none of the current distributed (including grid and network) system simulators can offer the environment that can be directly used for modelling cloud computing environments and applications with high-performance rate, and maximum resource utilization. To overcome this challenge this research presents HiCloud: a new simulation framework that allows seamless modelling, simulation, and experimentation of emerging cloud computing infrastructures and application services. The developed system is a Cloudsim-based simulator that models cloud networks with minimum processing time and maximum resource utilization ratio. This research focuses on the resource utilization by using optimize execution time algorithm for service broker policy. It also takes into consideration the task migration approach for the load balancing algorithm that is used in the execution of tasks. The system was able to model cloud networks and application with high-performance metrics. The experimental results showed that the developed system has a better performance in terms of response time, execution time, makespan time and resource utilization ratio compared to existing systems.

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Index Terms

Computer Science
Information Sciences


Simulation Cloud Computing Modeling High Performance Toolkit.