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Titlebook: Current Trends in Web Engineering; ICWE 2023 Internatio Sven Casteleyn,Tommi Mikkonen,Giuseppe Loseto Conference proceedings 2024 The Edito

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发表于 2025-3-21 17:38:26 | 显示全部楼层 |阅读模式
书目名称Current Trends in Web Engineering
副标题ICWE 2023 Internatio
编辑Sven Casteleyn,Tommi Mikkonen,Giuseppe Loseto
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Current Trends in Web Engineering; ICWE 2023 Internatio Sven Casteleyn,Tommi Mikkonen,Giuseppe Loseto Conference proceedings 2024 The Edito
描述This volume constitutes the papers of several workshops which were held in conjunction with the International Conference on Web Engineering, ICWE 2023, held in Alicante, Spain, in June 6–9, 2023..The 10 revised full papers and 2 short papers presented in this book were carefully reviewed and selected from 23 submissions. They stem from the following workshops:.Third International Workshop on Big Data Driven Edge Cloud Services (BECS 2023) .Second International Workshop on the Semantic Web of Everything (SWEET 2023)   .Second International Workshop on Web Applications for Life Sciences (WALS2023) .
出版日期Conference proceedings 2024
关键词edge cloud; big data; semantic web; web of everything; web applications for life sciences; software desig
版次1
doihttps://doi.org/10.1007/978-3-031-50385-6
isbn_softcover978-3-031-50384-9
isbn_ebook978-3-031-50385-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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DESA: Decentralized Self-adaptive Horizontal Autoscaling for Bursts of Load in Fog Computingcision adaptively, cloning or terminating itself through a self-monitoring process. We evaluate DESA in a simulated fog computing environment with different numbers of fog nodes. The results show that DESA successfully reduces the scaling reaction time in large-scale fog computing systems compared t
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https://doi.org/10.1007/978-3-662-48510-1cision adaptively, cloning or terminating itself through a self-monitoring process. We evaluate DESA in a simulated fog computing environment with different numbers of fog nodes. The results show that DESA successfully reduces the scaling reaction time in large-scale fog computing systems compared t
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Frank Lennings,†Norbert Baszenskis send video stream to MEC server. We evaluate video stream to identify the dynamic amount of resource requirement among each users using optical flow and adjust user task queue. To satisfy equal latency quality of experience, we apply lower quality first serve approach and respond hand pose estimat
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