Fog Computing for Energy-Aware Load Balancing and Scheduling in Smart Factory

Wan, Jiafu; Chen, Baotong; Wang, Shiyong; Xia, Min; Li, Di; Liu, Chengliang

doi:10.1109/tii.2018.2818932

Cited by 266 publications

(123 citation statements)

References 25 publications

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“…This mechanism is based on cloudlets layer between mobile devices and the cloud, performing a dynamic search to achieve better communication experience between mobile devices and the cloud. Moreover, authors in [36] proposed an energy aware scheme for load balancing and scheduling in [37] proposed a solution for security and privacy concerns, in order to maximize security and privacy levels for transmission, while maintaining a successful connection probability within a given timing constraints using multi-channel communication.…”

Section: Related Workmentioning

confidence: 99%

Cooperative-hierarchical based edge-computing approach for resources allocation of distributed mobile and IoT applications

Aljarah¹,

Shurman²,

Alnabelsi³

2020

IJECE

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<span lang="EN-US">Using mobile and Internet of Things (IoT) applications is becoming very popular and obtained researchers’ interest and commercial investment, in order to fulfill future vision and the requirements for smart cities. These applications have common demands such as fast response, distributed nature, and awareness of service location. However, these requirements’ nature cannot be satisfied by central systems services that reside in the clouds. Therefore, edge computing paradigm has emerged to satisfy such demands, by providing an extension for cloud resources at the network edge, and consequently, they become closer to end-user devices. In this paper, exploiting edge resources is studied; therefore, a cooperative-hierarchical approach for executing the pre-partitioned applications’ modules between edges resources is proposed, in order to reduce traffic between the network core and the cloud, where this proposed approach has a polynomial-time complexity. Furthermore, edge computing increases the efficiency of providing services, and improves end-user experience. To validate our proposed cooperative-hierarchical approach for modules placement between edge nodes’ resources, iFogSim toolkit is used. The obtained simulation results show that the proposed approach reduces network’s load and the total delay compared to a baseline approach for modules’ placement, moreover, it increases the network’s overall throughput.</span>

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Section: Related Workmentioning

confidence: 99%

Cooperative-hierarchical based edge-computing approach for resources allocation of distributed mobile and IoT applications

Aljarah¹,

Shurman²,

Alnabelsi³

2020

IJECE

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“…These basic technologies have contributed to the foundation of advanced energy management systems in the current distribution networks [36][37][38][39]. The penetration of distributed power sources and controllable energy appliances and market liberalization have spread the concept of energy management to the demand side, that is, households [40][41][42][43][44][45][46][47][48][49], office buildings [47,[50][51][52][53][54], factories [55][56][57][58][59][60][61] and even to districts [62][63][64][65][66][67]. From historical viewpoints, the development of technology for local EMSs and the concern about interaction among different systems motivated the recent activities in the field related to cooperated EMSs; the concept of system-of-systems [68,69] has also emphasized research related to cooperated EMSs as a concrete application field.…”

Section: Brief History Of Ems Researchmentioning

confidence: 99%

Designing Sustainable Smart Cities: Cooperative Energy Management Systems and Applications

Fujimoto

Ishii

Hayashi

2020

IEEJ Transactions Elec Engng

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Smart cities will be an important component for the construction of a sustainable future society. This paper focuses on the functionalities of smart cities from the perspective of electric power systems and reviews recent works on the various types of energy management systems (EMSs), particularly those focusing on the interaction among systems distributed in a city. Furthermore, this paper describes the idea of a platform for evaluating cooperative EMS technologies distributed in a city. The related research and demonstration of the EMS technology in real cities that were evaluated using the proposed platform are presented. © 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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“…Most of the constraints like deadline, energy and power hold same for IoT application as well. However, in the latter case, the real-time operations and jobs should be performed on a much larger scale, and thus the applications need to degrade gracefully by employing proper load-balancing techniques [48].…”

Section: Overview Of Real-time Systems Scheduling and Visualisation Tmentioning

confidence: 99%

Towards the Design of a Formal Verification and Evaluation Tool of Real-Time Tasks Scheduling of IoT Applications

et al. 2019

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Real-Time Internet of Things (RT-IoT) is a newer technology paradigm envisioned as a global inter-networking of devices and physical things enabling real-time communication over the Internet. The research in Edge Computing and 5G technology is making way for the realisation of future IoT applications. In RT-IoT tasks will be performed in real-time for the remotely controlling and automating of various jobs and therefore, missing their deadline may lead to hazardous situations in many cases. For instance, in the case of safety-critical and mission-critical IoT systems, a missed task could lead to a human loss. Consequently, these systems must be simulated, as a result, and tasks should only be deployed in a real scenario if the deadline is guaranteed to be met. Numerous simulation tools are proposed for traditional real-time systems using desktop technologies, but these relatively older tools do not adapt to the new constraints imposed by the IoT paradigm. In this paper, we design and implement a cloud-based novel architecture for the formal verification of IoT jobs and provide a simulation environment for a typical RT-IoT application where the feasibility of real-time remote tasks is perceived. The proposed tool, to the best of our knowledge, is the first of its kind effort to support not only the feasibility analysis of real-time tasks but also to provide a real environment in which it formally monitors and evaluates different IoT tasks from anywhere. Furthermore, it will also act as a centralised server for evaluating and tracking the real-time scheduled jobs in a smart space. The novelty of the platform is purported by a comparative analysis with the state-of-art solutions against attributes which is vital for any open-source tools in general and IoT in specifics.

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Fog Computing for Energy-Aware Load Balancing and Scheduling in Smart Factory

Cited by 266 publications

References 25 publications

Cooperative-hierarchical based edge-computing approach for resources allocation of distributed mobile and IoT applications

Cooperative-hierarchical based edge-computing approach for resources allocation of distributed mobile and IoT applications

Designing Sustainable Smart Cities: Cooperative Energy Management Systems and Applications

Towards the Design of a Formal Verification and Evaluation Tool of Real-Time Tasks Scheduling of IoT Applications

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