Sustainability and Fog Computing: Applications, Advantages and Challenges

Farooqi, Abdul Majid; Hassan, Syed Imtiyaz; Alam, M. Afshar

doi:10.1109/iccct2.2019.8824983

Cited by 6 publications

(6 citation statements)

References 49 publications

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“…4 Fog computing working at the edge to assist the cloud [34] The benefits of fog can be described as follows:  Lower latency: Fog computing can support live environments and real-time services [35], [36].  Higher business agility: Fog computing applications can be easily and quickly developed, deployed, and programmed according to user needs [34], [37].  Large-scale geographical distribution: Fog computing provides a distributed environment for computing and storage for large and widely distributed applications [35].…”

Section: Fog Computingmentioning

confidence: 99%

“… Cost-effective operations: Network bandwidth and energy can be saved by processing the IoT data locally before transmitting it to the cloud for analysis [34], [36].  Heterogeneity and flexibility: Fog computing can accommodate various network architectures and environments, providing a synchronized data output for the cloud [34], [37].  Scalability: IoT devices can be increased as and when required as the fog area is closer to the end device [35]- [37].…”

Section: Fog Computingmentioning

confidence: 99%

“… Heterogeneity and flexibility: Fog computing can accommodate various network architectures and environments, providing a synchronized data output for the cloud [34], [37].  Scalability: IoT devices can be increased as and when required as the fog area is closer to the end device [35]- [37].  Security: Fog computing is deployed closer to the end devices with a minimum delay and can provide highlevel security [36].…”

Section: Fog Computingmentioning

confidence: 99%

See 2 more Smart Citations

A Review of Fog Computing Concept, Architecture, Application, Parameters and Challenges

Ghani,

Bakar Sajak,

Qureshi

et al. 2024

JOIV : Int. J. Inform. Visualization

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The Internet of Things (IoT) has become an integral part of our daily lives, growing exponentially from a facility to a necessity. IoT has been utilized extensively through cloud computing and has proven an excellent technology for deploying in various fields. The data generated by the IoT devices gets transmitted to the cloud for processing and storage. However, with this approach, there are specific issues like latency, energy, computation resources availability, bandwidth, heterogeneity, storage, and network failure. To overcome these obstacles, fog computing is utilized as a middle tier. Fog computing gathers and processes the generated data closer to the user end before transmitting it to the cloud. This paper aims to conduct a structured review of the current state of fog computing and its architectures deployed across multiple industries. This paper also focuses on the implementation and critical parameters for introducing fog computing in IoT-cloud architecture. A detailed comparative analysis has been carried out for 5 different architectures considering various crucial parameters to identify how the quality of service and quality of experience for end users can be optimized. Finally, this paper looks at the multiple challenges that fog computing faces in a structured six-level approach. These challenges will also lead the way for future research in resource management, green computing, and security.

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Section: Fog Computingmentioning

confidence: 99%

Section: Fog Computingmentioning

confidence: 99%

Section: Fog Computingmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Fog Computing Concept, Architecture, Application, Parameters and Challenges

Ghani,

Bakar Sajak,

Qureshi

et al. 2024

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

show abstract

“…Fog computing or fog organizing, otherwise called fogging, is an architectural design that utilizes edge devices to perform a significant amount of calculation, storage, and correspondence locally, steered over the internet backbone. In our previous work [34], we defined fog computing as "Fog computing horizontally provides cloud computing features at the edge of user premises and distributes storage, networking, and computing hardware without compromising security, latency, and performance".…”

Section: Fog Computing Architecturementioning

confidence: 99%

A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation

et al. 2022

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Connected vehicles are a vital part of smart cities, which connect over a wireless connection and bring mobile computation and communication abilities. As a mediator, fog computing resides between vehicles and the cloud and provides vehicles with processing, storage, and networking power through Vehicular Ad-hoc networks (VANET). VANET is a time-sensitive technology that requires less time to process a request received from a vehicle. Delay and latency are the notorious issues of VANET and fog computing. To deal with such problems, in this work, we developed a priority-based fog computing model for smart urban vehicle transportation that reduces the delay and latency of fog computing. To upgrade the fog computing infrastructure to meet the latency and Quality of Service (QoS) requirements, 5G localized Multi-Access Edge Computing (MEC) servers have also been used, which resulted tremendously in reducing the delay and the latency. We decreased the data latency by 20% compared to the experiment carried using only cloud computing architecture. We also reduced the processing delay by 35% compared with the utilization of cloud computing architecture.

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“…Currently, fog computing technologies are widely used in next-generation networks, vehicles, energy management, radio access networks, etc., and optimize the computational resources of different application systems [7,8]. FC also helps achieve sustainability through several application areas, while in the emerging IoT, it is the first choice for time-sensitive applications, due to it residing closer to the devices and sensors [9].…”

Section: Introductionmentioning

confidence: 99%

Fog Computing Capabilities for Big Data Provisioning: Visualization Scenario

et al. 2022

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With the development of Internet technologies, huge amounts of data are collected from various sources, and used ‘anytime, anywhere’ to enrich and change the life of the whole of society, attract ways to do business, and better perceive people’s lives. Those datasets, called ‘big data’, need to be processed, stored, or retrieved, and special tools were developed to analyze this big data. At the same time, the ever-increasing development of the Internet of Things (IoT) requires IoT devices to be mobile, with adequate data processing performance. The new fog computing paradigm makes computing resources more accessible, and provides a flexible environment that will be widely used in next-generation networks, vehicles, etc., demonstrating enhanced capabilities and optimizing resources. This paper is devoted to analyzing fog computing capabilities for big data provisioning, while considering this technology’s different architectural and functional aspects. The analysis includes exploring the protocols suitable for fog computing by implementing an experimental fog computing network and assessing its capabilities for providing big data, originating from both a real-time stream and batch data, with appropriate visualization of big data processing.

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Sustainability and Fog Computing: Applications, Advantages and Challenges

Cited by 6 publications

References 49 publications

A Review of Fog Computing Concept, Architecture, Application, Parameters and Challenges

A Review of Fog Computing Concept, Architecture, Application, Parameters and Challenges

A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation

Fog Computing Capabilities for Big Data Provisioning: Visualization Scenario

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