Edge Computing – EDGE 2023
Jun Feng, Frank Jiang, Min Luo et al. · Lecture notes in computer science · 2024
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About 10,000 papers for “Edge computing”
Jun Feng, Frank Jiang, Min Luo et al. · Lecture notes in computer science · 2024
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International Conference on Edge Computing 2025 Hongkong, Ye, Kejiang, Zhang, Liang-Jie et al. · Lecture notes in computer science · 2025
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International Congress on Edge Computing 2024 Bangkok, Zeng, Jing, Zhang, Liang-Jie et al. · Lecture notes in computer science · 2024
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Salman Ibne Eunus · Kaggle · 2023
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IEEE Intelligent Systems · 2024
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IEEE Internet Computing · 2025
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Cao, Jie, Zhang, Quan, Shi, Weisong · CERN Document Server (European Organization for Nuclear Research) · 2018
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Parliamentary Office of Science and Technology, John Cully, Susie Wright · 2020
This POSTnote describes edge computing, the use of computing resources in close proximity to the place where data are processed within a network, and some of the opportunities and challenges associated with its use. It supplements POSTnote 629.
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2022
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Mr. J. John Bennet · 2024
Edge computing is the technology which came into existence as we encountered some major issues in cloud computing. As cloud computing gives major support for the industrial welfare like infrastructure, platform and software and leads to a new technology like edge computing. In this chapter we will discuss the basic about cloud and edge computing like how to overcome the issues faced by cloud computing with the similarities between cloud computing and edge computing also the variance between cloud computing and edge computing. Later followed by that we will discuss about the merits of edge computing on the basis of cloud computing along with the building blocks of edge computing. Further we will discuss about the key technologies and functionalities of edge computing in which we will discuss the technologies which are helpful to perform the working of the key technologies which are used to make edge computing to perform better in different levels like Reducing computation, Flexibility management, Reducing traffic, Storage acceleration, Network controller, etc. Also, we are discussing with the challenges of edge computing in terms of providing privacy and security to the users can be divided into four different steps. Final we are concluding the chapter with the applications of edge computing as an emerging technology will depend on its capacity to find a solution to the setbacks which are already available system
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IEEE Intelligent Systems · 2024
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IEEE Software · 2023
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IEEE Internet Computing · 2024
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Biddut Hossain · 2020
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IEEE Intelligent Systems · 2025
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IEEE Intelligent Systems · 2019
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Jorge Pérez, Jessica Díaz, Javier Berrocal et al. · Computing · 2022
Abstract IoT edge computing is a new computing paradigm “in the IoT domain” for performing calculations and processing at the edge of the network, closer to the user and the source of the data. This paradigm is relatively recent, and, together with cloud and fog computing, there may be some confusion about its meaning and implications. This paper aims to help practitioners and researchers better understand what the industry thinks about what IoT edge computing is, and the expected benefits and challenges associated with this paradigm. We conducted a survey using a semi-structured in-depth questionnaire to collect qualitative data from relevant stakeholders from 29 multinational companies and qualitatively analyzed these data using the Constructivist Grounded Theory (Charmaz) method. Several researchers participated in the coding process (collaborative coding). To ensure consensus on the constructs that support the theory and thus improve the rigor of qualitative research, we conducted an intercoder agreement analysis. From the analysis, we have derived a substantive and analytic theory of what companies perceive about IoT edge computing, its benefits and challenges. The theory is substantive in that the scope of validity refers to the 29 surveys processed and analytic in that it analyzes “what is” rather than explaining causality or attempting predictive generalizations. A public repository with all the data related to the information capture process and the products resulting from the analysis of this information is publicly available. This study aims to strengthen the evidence and support practitioners in making better informed decisions about why companies are adopting edge computing and the current challenges they face. Additionally, the testing theory phase shows that the results are aligned with the ISO/IEC TR 30164 standard.
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IEEE Internet Computing · 2023
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IEEE Intelligent Systems · 2023
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IEEE Internet Computing · 2023
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