Comparative Analysis of Cloud Computing Simulators

Motlhabane, Neo; Gasela, Naison; Esiefarienrhe, Michael

doi:10.1109/csci46756.2018.00254

Cited by 2 publications

(4 citation statements)

References 22 publications

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“…CloudSim proposed in 2009 [46]. CloudSim's multifaceted [27] software [67] framework scheme and structural components are shown in Figure 5. The CloudSim simulation layer enables the development and simulation of virtual computers, memory, storage, and bandwidth in virtualized cloud-based [27] data center [38] environments with specific organizational boundaries.…”

Section: A Cloudsim Architecturementioning

confidence: 99%

“…CloudSim's multifaceted [27] software [67] framework scheme and structural components are shown in Figure 5. The CloudSim simulation layer enables the development and simulation of virtual computers, memory, storage, and bandwidth in virtualized cloud-based [27] data center [38] environments with specific organizational boundaries. Stipulating hosts to VMs, monitoring request execution, and observing robust process states are just a few of the critical issues that run through this layer.…”

Section: A Cloudsim Architecturementioning

confidence: 99%

“…It also simulates transmissions and extends the workload on a cloud infrastructure. The layer cost for space and memory use is won [27]. There is no GUI [41] and it has a small prototype declaration that does not finance TCP / IP [27].…”

Section: A Cloudsim Architecturementioning

confidence: 99%

“…The layer cost for space and memory use is won [27]. There is no GUI [41] and it has a small prototype declaration that does not finance TCP / IP [27]. During the simulation era, the CloudSim layer handles the initialization and operation of main identities (virtual machines, hosts, data centers, applications) [47].…”

Section: A Cloudsim Architecturementioning

confidence: 99%

See 3 more Smart Citations

A Systematic Survey of Simulation Tools for Cloud and Mobile Cloud Computing Paradigm

Shahid¹,

Faiz²,

Alam³

et al. 2022

JISR-C

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Cloud computing (CC) provides fast and on-demand access to virtually unlimited computing resources. Mobile cloud computing (MCC) is a new technology that brings CC and mobile devices together. MCC allows mobile devices access to cloud services. Describe the basic architectures for various MCC applications, as well as a brief comparison of cloud and MCC. As CC becomes more common, researchers in this field may need to conduct real-world experiments in their studies. Configuring and running these experiments in real-world cloud environments is costly. As a consequence, modeling and simulation approaches are suitable solutions that can be used to simulate cloud computing environments. Several simulation tools tailored to CC have been developed. The most powerful simulation methods in this field of study are described in this article. Among them are CloudSim, CloudSim Plus, CloudAnalyst, iFogSim, and CloudReports.

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Section: A Cloudsim Architecturementioning

confidence: 99%

Section: A Cloudsim Architecturementioning

confidence: 99%

Section: A Cloudsim Architecturementioning

confidence: 99%

Section: A Cloudsim Architecturementioning

confidence: 99%

See 2 more Smart Citations

A Systematic Survey of Simulation Tools for Cloud and Mobile Cloud Computing Paradigm

Shahid¹,

Faiz²,

Alam³

et al. 2022

JISR-C

View full text Add to dashboard Cite

show abstract

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

Shahid,

Alam,

Su’ud

2023

Applied Sciences

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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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Comparative Analysis of Cloud Computing Simulators

Cited by 2 publications

References 22 publications

A Systematic Survey of Simulation Tools for Cloud and Mobile Cloud Computing Paradigm

A Systematic Survey of Simulation Tools for Cloud and Mobile Cloud Computing Paradigm

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

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