Efficient Resource Provisioning for Smart Buildings Utilizing Fog and Cloud Based Environment

Yasmeen, Anila; Javaid, Nadeem; Rehman, Obaid Ur; Iftikhar, Hina; Malik, Muhammad Faizan; Muhammad, Fatima J.

doi:10.1109/iwcmc.2018.8450410

Cited by 32 publications

(11 citation statements)

References 14 publications

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“…The benefits of combining IoT with fog computing are demonstrated through an architectural model and a series of use cases. The authors [49] to lessen the strain on consumers and electricity-producing systems, a three-layered approach cloud is enabled and fog architecture is proposed. The fog server layer is connected to the end-user layer by clusters of buildings.…”

Section: Related Workmentioning

confidence: 99%

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

et al. 2022

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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.

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Section: Related Workmentioning

confidence: 99%

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

et al. 2022

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“…Simulation results showed that the proposed algorithm efficiently allocates resources while minimizing the response time and maximizing the throughput. Furthermore, in [22], a particle swarm optimization algorithm has been introduced for the resource provisioning in Fog-cloud infrastructures specifically focused on Smart buildings. Results showed that their approach can reduce the response time, the data transfer and the cost of VM allocation.…”

Section: Related Workmentioning

confidence: 99%

“…Two constraints are also added to make sure that the formulation only selects one slice and one gateway for each sensor. These two constraints are shown in (22).…”

Section: Maximization Of User Requests (Max R)mentioning

confidence: 99%

Towards end-to-end resource provisioning in Fog Computing over Low Power Wide Area Networks

Santos

Wauters

Volckaert

et al. 2021

Journal of Network and Computer Applications

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Recently, with the advent of the Internet of Things (IoT), Smart Cities have emerged as a potential business opportunity for most cloud service providers. However, centralized cloud architectures cannot sustain the requirements imposed by many IoT services. High mobility coverage and low latency constraints are among the strictest requirements, making centralized solutions impractical. In response, theoretical foundations of Fog Computing have been introduced to set up a distributed cloud infrastructure by placing computational resources close to end-users. However, the acceptance of its foundational concepts is still in its early stages. A key challenge still to answer is Service Function Chaining (SFC) in Fog Computing, in which services are connected in a specific order forming a service chain to fully leverage on network softwarization. Also, Low Power Wide Area Networks (LPWANs) have been getting significant attention. Opposed to traditional wireless technologies, LP-WANs are focused on low bandwidth communications over long ranges. Despite their tremendous potential, many challenges still arise concerning the deployment and management of these technologies, making their wide adoption difficult for most service providers. In this article, a Mixed Integer Linear Programming (MILP) formulation for the IoT service allocation problem is proposed, which takes SFC concepts, different LPWAN technologies and multiple optimization objectives into account. To the best of our knowledge, our work goes beyond the current state-of-the-art by providing a complete end-to-end (E2E) resource provisioning in Fog-cloud environments while considering cloud and wireless network requirements. Evaluations have been performed to evaluate in detail the proposed MILP formulation for Smart City use cases. Results show clear trade-offs between the different provisioning strategies. Our work can serve as a benchmark for resource provisioning research in Fog-cloud environments since the model approach is generic and can be applied to a wide range of IoT use cases.

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“…Authors presented a mechanism using FC to make SGs system more responsive by reducing the RT in grid. 26 In this article, FNs act as an edge of the network that speed up the transmission and reduces the RT of the different requests sent from FNs to cloud. Overload and underload concept is driven in the architecture to maintain connection between the devices and produce electricity on the basis of usage.…”

Section: Related Workmentioning

confidence: 99%

Analytic vision on fog computing for effective load balancing in smart grids

Rani

2019

Trans Emerging Tel Tech

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The Internet of Things generates a massive amount of data through sensors and other physical devices, which cause latency and delay in processing time and response time of smart grid (SG) services. To increase the efficiency of SGs, cloud computing provides a pay-per model approach to transmit the collected data and enhances the scalability and functionality of end devices. Moreover, in load balancing (LB), resource utilization, and distribution mechanism, milliseconds also make an effect where delays or jitters are not acceptable. Fog computing, an extension of cloud provides computing, networking, storage, communication at the edge of the network, and has overcome the existing challenges of SGs. In this article, a new hybrid model on the highly virtualized platform is proposed. Three algorithms for LB: throttled, round robin, and particle swarm optimization, are analyzed and compared. Moreover, this article also highlights some cost minimization and effective utilization approaches to distribute resources efficiently to provide services in SGs with respect to LB algorithms.

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Efficient Resource Provisioning for Smart Buildings Utilizing Fog and Cloud Based Environment

Cited by 32 publications

References 14 publications

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

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

Towards end-to-end resource provisioning in Fog Computing over Low Power Wide Area Networks

Analytic vision on fog computing for effective load balancing in smart grids

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