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IEEE 15th International Conference on E-Business Engineering (ICEBE)

作者： Lin, Wen-Hui Wang, Ping Wu, Bao-Hua Chao, Kuo-Ming Lo, Chi-Chun Kun Shan Univ Dept Informat Management Tainan Taiwan Coventry Univ Engn & Comp Sch MIS Coventry W Midlands England Natl Chiao Tung Univ Inst Informat Management Hsinchu Taiwan

ISBN: (纸本)9781538679920

Mobile commerce security needs quality services where mobile devices respond in real-time and traditional cloud computing approach uses a centralized architecture does not support these systems with such time dependency well. Thus, this study proposes a cross-age face-recognition model with MobileNets to determine the identity of a user in the situation of aging appearance change on a fog computing architecture. Especially, this study uses a face-recognition technique based on a distributed concept. In this concept, MobileNet-based face recognition system effectively performs cross-age face recognition for identity authentication with the enhanced facial features of the users locally. Overall, the MobileNet model reaches acceptable prediction accuracy with lower latency in face recognition process compared with that of the existing CNNs schemes.

关键词： cross-age face recognition user authentication fog computing architecture MobileNets convolutional neuron networks

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A Novel NAT-based Approach for Resource Load Balancing in fog computing architecture

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JOURNAL OF INTERNET TECHNOLOGY 2021年第3期22卷 513-520页

作者： Lai, Chin-Feng Weng, Hung-Yen Chou, Hao-Yu Huang, Yueh-Min Natl Cheng Kung Univ Dept Engn Sci Tainan Taiwan Sercomm Corp Taipei Taiwan

In recent years, with the rise of the internet of things technology, most devices can be connected to the internet, resulting in fewer and fewer IP addresses. Therefore, the number of applications using NAT has also increased. Coupled with the rise of fog computing architecture, NAT traversal has become increasingly difficult to be implemented. Although many methods of traversing firewalls have been proposed and widely used in various communication archiectures, Users cannot rely solely on the central server to establish connections in the peer-to-peer network, which increases the loading on the NAT architecture and transport server. In the past, there have been related papers to solve this problem, and the goal is to increase the success rate of establishing a connection through a NAT server. Therefore, a novel load balancing solution is proposed in this study, and the loading value obtained from the SVM model is adopted as the basis for selecting the network address conversion server. At the end of the study, we not only discuss the maximum server loading, different analysis models, and the delay time added by the new processes in the architecture, but also find the proposed approach is able to achieve the loading balance with only a small increase in delay time.

关键词： NAT-based Resource load balancing fog computing architecture

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Theoretical modelling of fog computing: a green computing paradigm to support IoT applications

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IET NETWORKS 2016年第2期5卷 23-29页

作者： Sarkar, Subhadeep Misra, Sudip Sch Informat Technol Kharagpur 721302 W Bengal India Indian Inst Technol Sch Med Sci & Technol Kharagpur 721302 W Bengal India

In this study, the authors focus on theoretical modelling of the fog computing architecture and compare its performance with the traditional cloud computing model. Existing research works on fog computing have primarily focused on the principles and concepts of fog computing and its significance in the context of internet of things (IoT). This work, one of the first attempts in its domain, proposes a mathematical formulation for this new computational paradigm by defining its individual components and presents a comparative study with cloud computing in terms of service latency and energy consumption. From the performance analysis, the work establishes fog computing, in collaboration with the traditional cloud computing platform, as an efficient green computing platform to support the demands of the next generation IoT applications. Results show that for a scenario where 25% of the IoT applications demand real-time, low-latency services, the mean energy expenditure in fog computing is 40.48% less than the conventional cloud computing model.

关键词： cloud computing mathematical analysis Internet of Things next generation IoT applications energy consumption service latency mathematical formulation Internet of things cloud computing model fog computing architecture support IoT applications green computing paradigm theoretical modelling

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Design and Applications of Agile Factory AaaS architecture Based on Container-based Virtualized Automation Control Unit 10

Design and Applications of Agile Factory AaaS Architecture B...

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10th International Conference on Ambient Systems, Networks and Technologies (ANT) / 2nd International Conference on Emerging Data and Industry 4.0 (EDI40)

作者： Lee, Jaehyeong Um, Changyong Shin, Jinjae Jeong, Jongpil Sungkyunkwan Univ Dept Smart Factory Convergence Object e7217 Suwon South Korea Sungkyunkwan Univ Robot & Intelligent Syst Engn Lab Suwon South Korea

With the announcement of the fourth industrial revolution in recent years, automation in the industrial field has developed into a form that fuses with Information and Communications Technologies. The factory is aiming at mass customization different from existing mass production. User requirements are becoming more diverse and new trends need to be followed quickly. These requirements must be met to reduce the overall product life cycle. Traditional automation units have existed in a direction that maintains a fixed form for mass production. However, in order to meet new requirements, we must aim for agile automation in a form that can be easily changed. To realize such agile automation, physically legacy devices must be moved to virtual space and freely editable, adjustable, and connected. In this paper, we propose Agile Factory Automation as a service architecture (AFAA) that can provide agility and flexibility to the factory automation. In addition, we introduce Container-based virtualized Automation Control Unit (CvACU), a virtual device that exists in virtual space, to realize agile automation. The new proposal architecture and virtual devices allows for on-line dynamic configuration, while at the same time adapting quickly to various changes in the plant. In order to evaluate these proposed architectures, we estimate that production classifications will be possible more quickly with application of virtualization technology based on product model in flexible production. (C) 2019 The Authors. Published by Elsevier B.V.

关键词： fog computing architecture Light-weight Virtualization Ultra Reliable & Low Latency Communication (URLLC) Agile Factory Automation as a service architecture (AFAA) Container-based virtualized Automation Control Unit (CvACU)

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fog Based architecture Design for IoT with Private Nodes: A Smart Home Application 7

Fog Based Architecture Design for IoT with Private Nodes: A ...

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7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)

作者： Kanyilmaz, Aykut Cetin, Aydin Gazi Univ Comp Engn Ankara Turkey

ISBN: (纸本)9781728113159

As the Internet of things became widespread, the amount of data produced by the devices, the sensors and the data has increased rapidly. It is predicted that the amount of data produced in the future will increase by 3-4 times. Increased data can be processed with cloud computing systems. However, due to the internet service quality and computational power constraint problem of smart devices, it has made it compulsory to design privatized fog computing infrastructures especially for the fog systems require processing of the data to be computed at the source. In this paper, a fog computing architecture for IoT with private nodes was proposed and applied in a smart home. Smart home system can be served dynamically at different fog nodes and new fog nodes are defined. Processing of data at fog nodes has resulted in data confidentiality and reduced internet connection usage. An increase in the response rate of the applications was observed.

关键词： fog computing fog computing architecture Internet of Things

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A Real-Time Trust Management Model Using Digital Twin in IoT Networks

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IEEE ACCESS 2024年 12卷 183326-183343页

作者： Soula, Meriem Mbarek, Bacem Meddeb, Aref Univ Carthage Tunisia Polytech Sch La Marsa 2078 Tunisia Gulf Coll Muscat 133 Oman Univ Sherbrooke Fac Engn Sherbrooke PQ J1K 2R1 Canada

The Internet of Things (IoT) is becoming more and more entwined with both our private lives and business environments. The IoT's expanding relevance motivates researchers to develop models that examine IoT device activity as a means of determining trustworthiness and detecting unusual behavior. This paper aims to develop a new trust model based on digital twins to detect and foretell anomalies in real IoT setups. To build trust, twins communicate constantly and warn one another when their physical counterparts communicate. The notified twins then examine specific factors of the communicating nodes, such as traceability, residual energy, resource usage, etc., to detect anomalies and take appropriate actions. We evaluate the performance and applicability of our model using the ifogSim simulator, mainly considering the probability of detecting anomalies. The simulation demonstrates improvement in trust management, scalability, and resource efficiency achieving optimizing performance in terms of energy consumption, execution time, and network usage. We demonstrate around 95% accuracy rate in identifying compromised nodes, including during DoS attacks.

关键词： Internet of Things Security Digital twins Blockchains Real-time systems Trust management Performance evaluation Scalability Computational modeling Cloud computing Internet of Things (IoT) digital twin (DT) trust management fog computing architecture security

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Design and Applications of Agile Factory AaaS architecture Based on Container-based Virtualized Automation Control Unit

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Procedia Computer Science 2019年 151卷 622-629页

作者： Jaehyeong Lee Changyong Um Jinjae Shin Jongpil Jeong Department of Smart Factory Convergence Sungkyunkwan University Suwon Republic of Korea objective e7217 Robotics and Intelligent System Engineering Lab Sungkyunkwan University Suwon Republic of Korea

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