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Understanding Edge Computing: Engineering Evolution With Artificial Intelligence

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TLDR
The concepts, backgrounds, and pros and cons of edge computing are introduced, how it operates and its structure hierarchically with artificial intelligence concepts are explained, examples of its applications in various fields are listed, and some improvements are suggested.
Abstract
The key to the explosion of the Internet of Things and the ability to collect, analyze, and provide big data in the cloud is edge computing, which is a new computing paradigm in which data is processed from edges. Edge Computing has been attracting attention as one of the top 10 strategic technology trends in the past two years and has innovative potential. It provides shorter response times, lower bandwidth costs, and more robust data safety and privacy protection than cloud computing. In particular, artificial intelligence technologies are rapidly incorporating edge computing. In this paper, we introduce the concepts, backgrounds, and pros and cons of edge computing, explain how it operates and its structure hierarchically with artificial intelligence concepts, list examples of its applications in various fields, and finally suggest some improvements and discuss the challenges of its application in three representative technological fields. We intend to clarify various analyses and opinions regarding edge computing and artificial intelligence.

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Journal ArticleDOI

AI for Next Generation Computing: Emerging Trends and Future Directions

TL;DR: In this article , the authors discuss challenges and opportunities for leveraging AI and ML in next generation computing for emerging computing paradigms, including cloud, fog, edge, serverless and quantum computing environments.
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A Survey on Multi-Access Edge Computing Applied to Video Streaming: Some Research Issues and Challenges

TL;DR: Focus on video streaming schemes, a comprehensive summary of the state of the art applying MEC to video streaming is surveyed and a taxonomy of MEC enabled video streaming applications is classified.
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6G-enabled Edge Intelligence for Ultra -Reliable Low Latency Applications: Vision and Mission

TL;DR: The advantages of edge computing over cloud computing to overcome latency and reliability issues in critical applications and the demonstration of aforementioned massive application in the form of a case study on combating COVID-19 situations using 6G-based edge intelligence is discussed.
Journal ArticleDOI

Edge Caching Based on Collaborative Filtering for Heterogeneous ICN-IoT Applications

TL;DR: In this paper, the authors proposed an enhanced ICN-IoT content caching strategy by enabling artificial intelligence (AI)-based collaborative filtering within the edge cloud to support heterogeneous IoT architecture.
References
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TL;DR: This paper presents the implementation of MapReduce, a programming model and an associated implementation for processing and generating large data sets that runs on a large cluster of commodity machines and is highly scalable.
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Internet of Things (IoT): A vision, architectural elements, and future directions

TL;DR: In this article, the authors present a cloud centric vision for worldwide implementation of Internet of Things (IoT) and present a Cloud implementation using Aneka, which is based on interaction of private and public Clouds, and conclude their IoT vision by expanding on the need for convergence of WSN, the Internet and distributed computing directed at technological research community.
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A view of cloud computing

TL;DR: The clouds are clearing the clouds away from the true potential and obstacles posed by this computing capability.
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Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

TL;DR: An overview of the Internet of Things with emphasis on enabling technologies, protocols, and application issues, and some of the key IoT challenges presented in the recent literature are provided and a summary of related research work is provided.
Journal ArticleDOI

Edge Computing: Vision and Challenges

TL;DR: The definition of edge computing is introduced, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge Computing.
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