A Performance Study of High-End Fog and Fog Cluster in iFogSim

Rahman, Fatin Hamadah; Au, Thien Wan; Newaz, S. H. Shah; Suhaili, Wida Susanty

doi:10.1007/978-3-030-03302-6_8

Cited by 10 publications

(9 citation statements)

References 9 publications

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“…Also some researches using iFogSim simulator used to evaluate reduction of latency, optimization of data communication, energy consumption, resource management techniques, and application placement strategy [9], [10], [24], [29], [30].…”

Section: Background and Related Workmentioning

confidence: 99%

“…As we know that Cloud computing is trending technology and being used in the healthcare industry so, used to investigate in this study [26], [27]. Fog architecture which will investigate in this study is proposed in previous studies to reduce the cost of execution [25], [29], [30]. The hierarchical fog-cloud scenario has been used in DRAM [31] to replicate running services and minimize hardware costs.…”

Section: B Case Studymentioning

confidence: 99%

See 1 more Smart Citation

Developing and Evaluating A Real-time and Cost-Efficient Architecture for COVID-19 Using Internet of Health Things

Borujeni

Fathy

Mozayani

2021

Preprint

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Coronavirus is spreading an outbreak in the world and the medical staffs have been coming under further strain with increasing in patients referring to the hospital. Real-time health monitoring systems play a critical role in prevention, control the pandemic disease, and enhance the entire health care service delivery in real-time, and influence on visiting the hospital visiting the hospital. In this paper, a hierarchical architecture for the Internet of Things is improved using resource and task management techniques for reducing emergency response time and enhanced the patients’ quality of experiences considering energy consumption, network delay, cost of execution in the cloud and network usage. In this proposed scenario, the task is divided into subtasks and processes depending on their functions with different execution times. This method also has led to improving the fog architecture. This proposed method is modeled are evaluated in terms of the specified parameters, using the iFogsim toolkit. The results showed an improvement of 80 percent in their parameters such as cost of execution, total network usage, and average delays, compared to the cloud and other common architecture.

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Section: Background and Related Workmentioning

confidence: 99%

Section: B Case Studymentioning

confidence: 99%

Developing and Evaluating A Real-time and Cost-Efficient Architecture for COVID-19 Using Internet of Health Things

Borujeni

Fathy

Mozayani

2021

Preprint

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“…They moreover utilized records which accomplished around 90 percent precision with 13 or more points of interest, whereas 16 points of interest are required to attain comparable exactness in GNP F.H. Rahman et al [19] calculated the cost of execution for scaling out and scaling up methods using iFogSim. They created a scenario with Cloud, Proxy, Fog and any IOT device (camera in this use case) and calculated the variables.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparative Analysis of Cloud and Fog Environment Based on Network Usage and Cost of Execution Using iFogSim

Alam

Jabin

Alam

et al. 2021

2021 International Conference on Decision Aid Sciences and Application (DASA)

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“…Note that these values are referred to the work in Rahman et al 90 In order to perform the PC technique, we apply Algorithm 1 for each application. In this algorithm, PC refers to the priority class name.…”

Section: Proposed Approach: Qos‐fog Model Based On Pcmentioning

confidence: 99%

“…The updateAllocatedMips 91 allocates the appropriate value of the million instructions per seconds MIPS according to the type of the PC . Table 4 gives details 90 about last‐cited attributes regarding the priority class name. The device.getLevel gives the hierarchy level (presented in Table 3).…”

Section: Proposed Approach: Qos‐fog Model Based On Pcmentioning

confidence: 99%

IoT/cloud‐enabled smart services: A review on QoS requirements in fog environment and a proposed approach based on priority classification technique

Ksentini

Jebalia

Tabbane

2019

Int J Communication

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Summary Smart applications are increasingly emerged in our daily professional and personal lives, ranging from augmented reality and gaming applications to E‐health and telesurgery services. In fact, the growing development of Internet of Things (IoT) and its integration with cloud and fog paradigms have encouraged infrastructures and services providers to perform intelligence in advanced technologies. However, the deployment of IoT/cloud‐enabled smart services still suffers from several quality of services (QoSs) management issues such as latency sensitivity for interactive applications and real‐time big data analytics. In this paper, we propose to present a novel approach for the management of smart services QoS. Accordingly, we introduce an overview of QoS requirements in fog computing environment for several IoT/cloud‐enabled use cases, to identify QoS metrics. The synthesis of the requirements review allows us to present a solution for QoS enhancements on the basis of a priority classification (PC) technique. Simulated with iFogSim, PC shows a significant enhancement of the system performance, notably for latency, energy consumption, and network usage.

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A Performance Study of High-End Fog and Fog Cluster in iFogSim

Cited by 10 publications

References 9 publications

Developing and Evaluating A Real-time and Cost-Efficient Architecture for COVID-19 Using Internet of Health Things

Developing and Evaluating A Real-time and Cost-Efficient Architecture for COVID-19 Using Internet of Health Things

Comparative Analysis of Cloud and Fog Environment Based on Network Usage and Cost of Execution Using iFogSim

IoT/cloud‐enabled smart services: A review on QoS requirements in fog environment and a proposed approach based on priority classification technique

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