A Cloud-Fog-Based Smart Grid Model for Efficient Resource Utilization

Zahoor, Saman; Javaid, Nadeem; Khan, Asif; Bibi, Rehana; Muhammad, Fatima J.; Zahid, Maida

doi:10.1109/iwcmc.2018.8450506

Cited by 77 publications

(34 citation statements)

References 15 publications

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“…For the purpose of efficient resource management and information security, some researchers have begun adding edge computing to an SG; for instance, Zahoor et al [1] introduced a new SG model based on edge computing for resource management. The proposed model is based on an edge-cloud hierarchical infrastructure to separate the role of the cloud, providing different types of services to consumers.…”

Section: Related Literaturementioning

confidence: 99%

“…It is well-known that an SG is an advanced electricity grid that uses a two-way flow of electricity and information, which differs from a traditional electricity infrastructure, providing more efficiency, protected data submissions, and a secure channel between a smart meter (SM) and service provider (SP). The remarkable advantages of an SG include monitoring the electricity consumption of the endusers with different approaches in real time [1]. In general, the infrastructure of an SG comprises three components: in-house deployed SMs, SPs in substations, and a control center (CC) in the cloud [2,3,4,5,6].…”

Section: Introductionmentioning

confidence: 99%

“…As previously mentioned, edge computing is an extension of cloud computing, which provides numerous advantages over the cloud computing infrastructure. In recent years, many researchers have attempted to extend the edge computing infrastructure for applications based on cloud computing [1,11,12,13,14]. In this study, we extended the infrastructure of edge computing to an SG, which is different from the case of a traditional SG.…”

Section: Introductionmentioning

confidence: 99%

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Lightweight Authentication Protocol in Edge-based Smart Grid Environment

Chen

Huang

et al. 2020

Preprint

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A smart grid (SG) is an advanced power grid system deployed in a cloud center and smart meters (at the consumer end) that provides higher reliability, better data protection, improved power efficiency, automatic monitoring, and effective management of power consumption. However, an SG also poses certain challenges that need to be addressed. For example, data provided by a smart meter are time sensitive and cannot handle high latency in an SG. Moreover, a smart meter depends on the memory, energy, and other factors. In addition, the security between a cloud center and smart meter is an important issue that needs to be resolved. Edge computing, which is an extension of cloud computing deployed in an edge network between a cloud center and the end devices, is an efficient solution to the above-mentioned issues. Therefore, in this study, we propose a secure mutual authentication protocol based on edge computing for use in an SG.

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Section: Related Literaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Lightweight Authentication Protocol in Edge-based Smart Grid Environment

Chen

Huang

et al. 2020

Preprint

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“…The authors in [10], concentrated on a cloud-fog based model is proposed for resource management in SG. The objective of this study is the efficient utilization of re-sources.…”

Section: Related Workmentioning

confidence: 99%

Efficient Energy Utilization in Cloud Fog Environment

Hayat¹,

Nauman²,

Yousaf³

et al. 2019

IJACSA

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Cloud computing provides various kind of services like storage and processing that can be accessed on-demand when required. Despite its countless benefits, it incorporates some issues too that limits the full adaption of cloud and enjoy its various benefits. Mainly the issue faced during the adaptability of cloud infrastructure is high latency and unawareness of location. To overcome these issues the concept of fog computing is introduced to reduce the load on the cloud and improve the allocation of resources. The fog provides the same services as the cloud. The main features of fog are; location awareness, low latency, and mobility. However, increasing the use of IoT devices, also increase the usage of Cloud. Fog environment. So, much usage of fog getting attention of researcher about energy consumption. In this paper, we try to solve the problem of energy consumption in terms of resources allocation by applying the load balancing algorithms and compare its result with the energy models.

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“…The recent developments of the upcoming Fifth-Generation communication network backbones (5G) are expected to influence the development of fog computing with huge benefits with regards to response times, transmission delays, and energy management costs in delay-sensitive applications [24]. The hierarchical structures of cloud-fog computing can provide different types of computing services that improve resource management in smart grids [25,26]. Evidence from real-world deployments indicates the benefits of middleware technologies of storing and processing smart meter data within the smart devices and the network hierarchy [27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

A Smart Water Metering Deployment Based on the Fog Computing Paradigm

Amaxilatis¹,

Chatzigiannakis

Tselios

et al. 2020

Applied Sciences

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In this paper, we look into smart water metering infrastructures that enable continuous, on-demand and bidirectional data exchange between metering devices, water flow equipment, utilities and end-users. We focus on the design, development and deployment of such infrastructures as part of larger, smart city, infrastructures. Until now, such critical smart city infrastructures have been developed following a cloud-centric paradigm where all the data are collected and processed centrally using cloud services to create real business value. Cloud-centric approaches need to address several performance issues at all levels of the network, as massive metering datasets are transferred to distant machine clouds while respecting issues like security and data privacy. Our solution uses the fog computing paradigm to provide a system where the computational resources already available throughout the network infrastructure are utilized to facilitate greatly the analysis of fine-grained water consumption data collected by the smart meters, thus significantly reducing the overall load to network and cloud resources. Details of the system’s design are presented along with a pilot deployment in a real-world environment. The performance of the system is evaluated in terms of network utilization and computational performance. Our findings indicate that the fog computing paradigm can be applied to a smart grid deployment to reduce effectively the data volume exchanged between the different layers of the architecture and provide better overall computational, security and privacy capabilities to the system.

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A Cloud-Fog-Based Smart Grid Model for Efficient Resource Utilization

Cited by 77 publications

References 15 publications

Lightweight Authentication Protocol in Edge-based Smart Grid Environment

Lightweight Authentication Protocol in Edge-based Smart Grid Environment

Efficient Energy Utilization in Cloud Fog Environment

A Smart Water Metering Deployment Based on the Fog Computing Paradigm

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