A Systematic Parameter Analysis of Cloud Simulation Tools in Cloud Computing Environments

Shahid, MA; Alam, MM; Su’ud, MM

A Systematic Parameter Analysis of Cloud Simulation Tools in Cloud Computing Environments

Shahid, MA Alam, MM Su’ud, MM

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Applied Sciences, 13, (15), pp. 8785

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Field	Value	Language
dc.contributor.author	Shahid, MA
dc.contributor.author	Alam, MM
dc.contributor.author	Su’ud, MM
dc.date.accessioned	2024-03-20T19:45:15Z
dc.date.available	2024-03-20T19:45:15Z
dc.identifier.citation	Applied Sciences, 13, (15), pp. 8785
dc.identifier.issn	2076-3417
dc.identifier.issn	2076-3417
dc.identifier.uri	http://hdl.handle.net/10453/176946
dc.description.abstract	To provide various applications in various domains a large scale cloud data center is required Cloud computing enables access to nearly infinite computing resources on demand As cloud computing grows in popularity researchers in this field must conduct real world experiments Configuring and running these tests in an actual cloud environment is costly Modeling and simulation methods on the other hand are acceptable solutions for emulating environments in cloud computing This research paper reviewed several simulation tools specifically for cloud computing in the literature and presented the most effective simulation methods in this research domain as well as an analysis of a variety of cloud simulation tools Cloud computing tools such as CloudSim CloudSim Plus CloudAnalyst iFogSim and CloudReports were evaluated Furthermore a parametric evaluation of cloud simulation tools is presented based on the identified parameters Several 5 parameter tests were performed to demonstrate the capabilities of the cloud simulator These results show the value of our proposed simulation system CloudSim CloudSim Plus CloudAnalyst iFogSim and CloudReports are used to evaluate host processing elements virtual machine processing elements cloudlet processing elements userbase average minimum and maximum and cloudlet ID Start Time Finish Time Average Start and Average Finish for each simulator The outcomes compare these five simulator metrics After reading this paper the reader will be able to compare popular simulators in terms of supported models architecture and high level features We performed a comparative analysis of several cloud simulators based on various parameters The goal is to provide insights for each analysis given their features functionalities and guidelines on the way to researchers preferred tools
dc.language	en
dc.publisher	MDPI
dc.relation.ispartof	Applied Sciences
dc.relation.isbasedon	10.3390/app13158785
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A Systematic Parameter Analysis of Cloud Simulation Tools in Cloud Computing Environments
dc.type	Journal Article
utslib.citation.volume	13
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2024-03-20T19:45:08Z
pubs.issue	15
pubs.publication-status	Published
pubs.volume	13
utslib.citation.issue	15

Abstract:

To provide various applications in various domains a large scale cloud data center is required Cloud computing enables access to nearly infinite computing resources on demand As cloud computing grows in popularity researchers in this field must conduct real world experiments Configuring and running these tests in an actual cloud environment is costly Modeling and simulation methods on the other hand are acceptable solutions for emulating environments in cloud computing This research paper reviewed several simulation tools specifically for cloud computing in the literature and presented the most effective simulation methods in this research domain as well as an analysis of a variety of cloud simulation tools Cloud computing tools such as CloudSim CloudSim Plus CloudAnalyst iFogSim and CloudReports were evaluated Furthermore a parametric evaluation of cloud simulation tools is presented based on the identified parameters Several 5 parameter tests were performed to demonstrate the capabilities of the cloud simulator These results show the value of our proposed simulation system CloudSim CloudSim Plus CloudAnalyst iFogSim and CloudReports are used to evaluate host processing elements virtual machine processing elements cloudlet processing elements userbase average minimum and maximum and cloudlet ID Start Time Finish Time Average Start and Average Finish for each simulator The outcomes compare these five simulator metrics After reading this paper the reader will be able to compare popular simulators in terms of supported models architecture and high level features We performed a comparative analysis of several cloud simulators based on various parameters The goal is to provide insights for each analysis given their features functionalities and guidelines on the way to researchers preferred tools

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http://hdl.handle.net/10453/176946