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Titlebook: Edge Computing – EDGE 2020; 4th International Co Ajay Katangur,Shih-Chun Lin,Liang-Jie Zhang Conference proceedings 2020 Springer Nature Sw

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发表于 2025-3-21 17:40:19 | 显示全部楼层 |阅读模式
书目名称Edge Computing – EDGE 2020
副标题4th International Co
编辑Ajay Katangur,Shih-Chun Lin,Liang-Jie Zhang
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Edge Computing – EDGE 2020; 4th International Co Ajay Katangur,Shih-Chun Lin,Liang-Jie Zhang Conference proceedings 2020 Springer Nature Sw
描述.This book constitutes the proceedings of the International Conference on Edge Computing, EDGE 2020, held virtually as part of SCF 2020, in Honolulu, HI, USA, in September 2020. .The 7 full and 2 short papers presented in this volume were carefully reviewed and selected from 13 submissions..The conference proceeding EDGE 2020 presents the latest fundamental advances in the state of the art and practice of edge computing, identify emerging research topics, and define the future of edge computing..
出版日期Conference proceedings 2020
关键词Human-Computer Interaction (HCI); image coding; image processing; internet; Internet of Things (IoT); pro
版次1
doihttps://doi.org/10.1007/978-3-030-59824-2
isbn_softcover978-3-030-59823-5
isbn_ebook978-3-030-59824-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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书目名称Edge Computing – EDGE 2020读者反馈学科排名




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Transplantation and Transfusionmputing while satisfying the real-time processing requirement. The proposed architecture and placement algorithm are evaluated by simulation under the scenario of a virtual power plant that manages distributed energy resources. The simulation result shows the proposed placement algorithm suppresses
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https://doi.org/10.1007/978-4-431-53895-0bility to efficiently process data streams from a large amount of producers and support a large amount of consumers in real time. We test this architecture on real-world tasks, involving chaining of edge functions, context retention, and machine learning models on the edge, demonstrating its viabili
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ypes of memory devices according to access frequency in order to achieve a low latency compared to the existent approaches. We developed a Dual-LRU (Least Recently Used) structure for it. Evaluation was performed using a real machine equipped with NVM. The result showed the proposed method successfu
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,A Microservice-Based Industrial Control System Architecture Using Cloud and MEC,mputing while satisfying the real-time processing requirement. The proposed architecture and placement algorithm are evaluated by simulation under the scenario of a virtual power plant that manages distributed energy resources. The simulation result shows the proposed placement algorithm suppresses
发表于 2025-3-22 21:38:53 | 显示全部楼层
Edge Architecture for Dynamic Data Stream Analysis and Manipulation,bility to efficiently process data streams from a large amount of producers and support a large amount of consumers in real time. We test this architecture on real-world tasks, involving chaining of edge functions, context retention, and machine learning models on the edge, demonstrating its viabili
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Study on the Digital Imaging Process to Improve the Resolution of Historical Artifacts Photos, the insufficient amount of frequency data from K-space. Higher quality of image was obtained using the proposed LPF with a certain width of domain. Also non-traditional function and its behavior of image statistics were studied in this analytic analysis.
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