Container-based fog computing architecture and energy-balancing scheduling algorithm for energy IoT

Luo, Juan; Yin, Luxiu; Hu, Jinyu; Wang, Chun; Li, Xuan; Fan, Xin; Luo, Haibo

doi:10.1016/j.future.2018.12.063

Cited by 115 publications

(57 citation statements)

References 11 publications

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“…It is suitable for energy managing in the fog because it helps to preserve more energy. In this regard, Luo et al have presented a task scheduling algorithm for energy balancing. The algorithm is based on the transmission energy consumption of terminal devices and uses a dynamic threshold strategy to schedule requests in real time, thereby assuring the energy balancing of terminal devices without increasing the transmission delay.…”

Section: Discussionmentioning

confidence: 99%

A comprehensive study on managing strategies in the fog environments

Wang

Panpan

Batiha

2019

Trans Emerging Tel Tech

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Although cloud computing application is rising, some unanswered problems still exist because of its inner issues like untrustworthy inactivity, the absence of movement backing, and place awareness. Therefore, fog computing has appeared as a hopeful infrastructure to supply flexible resources at the edge of the network. Fog supplies processing, data, storing, and application amenities to ultimate operators. The management strategies have a great impact on fog computing, such as monitoring and optimizing, the correlated components for improving the performance, availability, security, and any fundamental operational requirement. However, as far as we know, no organized study exists about analyzing their importance in fog environments. This paper provides a detailed survey for covering the current state‐of‐the‐art in fog management. This paper classifies the management strategies into three main categories: data management, energy, and resource. We also presented a few prospects and problems like the suggestions for the upcoming studies in the associated methods requiring to be investigated in fog computing. Moreover, a new paradigm has been ensured by increasing fog functionality and resource consumption. In general, fog management strategies in computing environments still need improvements in the variety of its setting to convert to an on‐request method, decrease the associated overhead, and improve the performance. Therefore, proper management can maintain the least resource consumption, which will finish the extra decrease in energy usage. Therefore, we contribute to provide strong suggestions for future fog computing studies. This paper can handle the pace of publications and propose the outcomes of study and practice as an upcoming route for decision makers in healthcare. In principle, the increase of researchers, scientists and managers' awareness level would increase the managers' good and knowingly behavioral conduct on managing fog environments.

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Section: Discussionmentioning

confidence: 99%

A comprehensive study on managing strategies in the fog environments

Wang

Panpan

Batiha

2019

Trans Emerging Tel Tech

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“…The fog network provides optimized resources to the involved local participants and, therefore, it should offer dynamic resource allocation, scheduling and offloading functionalities [57]. The fog network would also utilize the virtualization technologies to provide efficient allocation, provisioning and sharing of resources/services [58]. Furthermore, mobility management and local awareness at the fog network is essential because of delivery of the required services/resources to the moving users and to the resource constrained local nodes/devices.…”

Section: B Requirements For Fog Networkmentioning

confidence: 99%

BlockEdge: Blockchain-Edge Framework for Industrial IoT Networks

et al. 2020

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Industry 4.0 encompasses a promise of a new industrial revolution in terms of providing secure, intelligent, autonomous and self-adaptive industrial IoT (IIoT) networks. Key industrial applications and systems will be significantly more complex due to the involvement of the vast number of different devices and diverse nature of various stakeholders and service providers. These complex industrial processes, services and applications also have strict requirements in terms of performance-latency in particular-and resource-efficiency, together with high standards for security and trust. In this context, Blockchain and Edge Computing emerge as prominent technologies to address the mentioned essential requirements and to further strengthen the rise of the new era of digitization. The Edge computing paradigm ensures low latency services for IIoT applications while optimizing the network usage, whereas Blockchain provides a decentralized way for ensuring data integrity, trust and security. In this paper, we propose a 'BlockEdge' framework that combines these two enabling technologies to address some of the critical issues faced by the current IIoT networks. We verify the feasibility of our approach by evaluating the performance and resource-efficiency of BlockEdge in terms of latency, power consumption and network usage, through simulations against non-Blockchain solution.

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“…Docker is a well‐known container that is widely used in recent years. This technology is used in Usamentiaga et al 84 and Luo et al 109 However, it should be noted that containers have security vulnerabilities such as container manipulation, misuse of virtualized resources, information sniffing, and privacy leakage 129 . Some of security vulnerabilities can be solved through cluster management and container orchestration tools 124 such as Kubernetes.…”

Section: Classification Of Challengesmentioning

confidence: 99%

Internet of Things architecture challenges: A systematic review

Nikoui

Rahmani

Balador

et al. 2020

Int J Communication

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The Internet of Things (IoT) is a rapidly growing trend within many domains, such as automotive, avionics, automation, energy, and health. IoT architecture is the system of numerous elements, including sensors, protocols, actuators, cloud services, and layers. IoT architecture plays an important role to provide desired services. Nowadays, tens of IoT architectures are provided by the research community. Many challenges have been identified by the research community, including interoperability, security and privacy, reliability, energy constraints, scalability, and lack of common standards. However, to provide suitable IoT architecture, the importance and priority of requirements in different scenarios may vary, and requirement analysis should be regarded. To this end, this paper presents a systematic mapping survey to give a review of IoT architecture and provide a structured overview of research trends. Moreover, a technical taxonomy is presented for these challenges according to reviewed studies. This classification model can be used as a guideline for future works.

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Container-based fog computing architecture and energy-balancing scheduling algorithm for energy IoT

Cited by 115 publications

References 11 publications

A comprehensive study on managing strategies in the fog environments

A comprehensive study on managing strategies in the fog environments

BlockEdge: Blockchain-Edge Framework for Industrial IoT Networks

Internet of Things architecture challenges: A systematic review

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