Planning Fog networks for time-critical IoT requests

Saba, Ume Kalsoom; Islam, Saif ul; Ijaz, Humaira; Rodrigues, Joel J. P. C.; Gani, Abdullah; Munir, Kashif

doi:10.1016/j.comcom.2021.03.002

Cited by 16 publications

(5 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Haider et al [16] presented a multi-objective model for fog network planning to optimize network traffic and delay, while Zhang et al [17] balanced capital expenditure and network delay in their multi-objective mathematical model for fog network planning. Saba et al [18] focused on minimizing overall response time in fog network planning for time-sensitive requests, while Lin et al [19] proposed an intelligent computing system framework for minimizing installation cost using fog and edge devices in a logistic center, considering cost as a parameter. 1.…”

Section: Related Workmentioning

confidence: 99%

“…x Γn = f c n , ∀n ∈ ℧ F C (16) Constraints towards the needed capacity of every device are described as listed below. Constraint (17) enforce the needed amount ϖ(g m ) provided by gateway m to be the sum of demand of all IoT devices determined by all links between gateway m and each IoT device k; and constraints (18) imposes that the maximum capacity Ψ G m for a gateway m. 19)-( 20) consider the maximal demand Ψ F t for a fog device t, and Constraints ( 21)-( 22) take into account the limit of Ψ F C n for a fog controller n.…”

Section: ℵ Gmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Tier Fog Network Planning in Internet of Things Infrastructure for Delay Sensitive Applications

MAITI,

Sahoo,

Turuk

2024

Preprint

View full text Add to dashboard Cite

Section: Related Workmentioning

confidence: 99%

Section: ℵ Gmentioning

confidence: 99%

Multi-Tier Fog Network Planning in Internet of Things Infrastructure for Delay Sensitive Applications

MAITI,

Sahoo,

Turuk

2024

Preprint

View full text Add to dashboard Cite

“…IoT deals with a variety of devices and applications, including the critical and non-critical [52]. The network must respond to a wide range of queries.…”

Section: ) Device Layermentioning

confidence: 99%

Message Scheduling in Blockchain Based IoT Environment With Additional Fog Broker Layer

et al. 2022

View full text Add to dashboard Cite

Recently researchers and companies have shown significant interest in merging blockchain and the Internet of Things (IoT) to create a safe, reliable, and resilient communication platform. However, determining the proper role of blockchain in existing IoT contexts with minimum implications is a challenge. This work suggests a message schedule for a blockchain-based architecture with two access-level setting filters for incoming messages: critical and non-critical. The proposed work of the researchers divides the fog layer into two parts: action clusters and blockchain fog clusters. Similar to the three-layered IoT architecture, the action cluster and the main cloud data center work together for critical message requests. The blockchain fog cluster is dedicated to only the blockchain application's requirements. In the fog layer, a fog broker is used to schedule critical and non-critical messages in the action and blockchain fog clusters, respectively. The proposed technique is compared to the existing Dual Fog-IoT architecture. The solution is also tested for fog and cloud computing resource utilization. The findings demonstrate that this architecture is feasible for varying percentages of receiving critical and non-critical messages. In addition to the inherent benefits of blockchain, the suggested paradigm reduces the system loss rate and offloads the cloud data center with minimal changes to the existing IoT ecosystem.INDEX TERMS Internet of Things (IoT), Message Scheduling, Wireless Sensor Networks, Fog Computing.

show abstract

“…An interesting attempt to cope with the outburst of an ever increasing number of IoT devices is fog computing, which proposes a hierarchical distributed architecture, extending from the edge to the cloud [48]. This way, the remote processing and storage power located on the cloud facilities in the cloud paradigm are drawn near the end user, somewhere between the edge and the cloud, inducing a reduction of the levels of bandwidth and latency when undertaking remote computing tasks and having the cloud as a backup, thus achieving better performance than working solely with the cloud [49].…”

Section: Fog Computing and Iotmentioning

confidence: 99%

Modeling of a Generic Edge Computing Application Design

Roig

Alcaraz

Gilly

et al. 2021

Sensors

View full text Add to dashboard Cite

Edge computing applications leverage advances in edge computing along with the latest trends of convolutional neural networks in order to achieve ultra-low latency, high-speed processing, low-power consumptions scenarios, which are necessary for deploying real-time Internet of Things deployments efficiently. As the importance of such scenarios is growing by the day, we propose to undertake two different kind of models, such as an algebraic models, with a process algebra called ACP and a coding model with a modeling language called Promela. Both approaches have been used to build models considering an edge infrastructure with a cloud backup, which has been further extended with the addition of extra fog nodes, and after having applied the proper verification techniques, they have all been duly verified. Specifically, a generic edge computing design has been specified in an algebraic manner with ACP, being followed by its corresponding algebraic verification, whereas it has also been specified by means of Promela code, which has been verified by means of the model checker Spin.

show abstract

Planning Fog networks for time-critical IoT requests

Cited by 16 publications

References 35 publications

Multi-Tier Fog Network Planning in Internet of Things Infrastructure for Delay Sensitive Applications

Multi-Tier Fog Network Planning in Internet of Things Infrastructure for Delay Sensitive Applications

Message Scheduling in Blockchain Based IoT Environment With Additional Fog Broker Layer

Modeling of a Generic Edge Computing Application Design

Contact Info

Product

Resources

About