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Titlebook: Cloud Computing and Services Science; 12th International C Maarten van Steen,Donald Ferguson,Claus Pahl Conference proceedings 2024 The Edi

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书目名称Cloud Computing and Services Science
副标题12th International C
编辑Maarten van Steen,Donald Ferguson,Claus Pahl
视频videohttp://file.papertrans.cn/243/242174/242174.mp4
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Cloud Computing and Services Science; 12th International C Maarten van Steen,Donald Ferguson,Claus Pahl Conference proceedings 2024 The Edi
描述.This book constitutes revised selected papers from the 12th and 13th International Conference on Cloud Computing and Services Science , CLOSER 2022 and CLOSER 2023, which took place as a virtual event in April 2022 and in Prague, Czech Republic, in April 2023. ..CLOSER 2022 received a total of 45 submissions out of which 3 papers are included in this book. From 46 submissions received for CLOSER 2023, 7 papers have been selected for inclusion in this book. They focus on latest advances and various aspects of cloud computing and the link to services science. .
出版日期Conference proceedings 2024
关键词Cloud Application Portability; Cloud Computing Architecture; Cloud Interoperability; Business Process M
版次1
doihttps://doi.org/10.1007/978-3-031-68165-3
isbn_softcover978-3-031-68164-6
isbn_ebook978-3-031-68165-3Series 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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,Empowering Statistical Analysis in FaaS Environments Through the Orama Framework, execution of benchmarks in environments with this architecture has grown. The Orama framework has positioned itself as an aid tool in this type of evaluation, allowing the comparison of environments of this category through statistical analyses with factorial design and t-test, as well as a direct
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,Metamodel and Formalization to Model, Transform, Deploy, and Execute Quantum Workflows,ration and orchestration challenges arising when building hybrid applications, a quantum-specific workflow modeling extension was introduced. However, it lacks support for state-of-the-art techniques that have emerged in recent years, e.g., circuit cutting and warm-starting. As the usage of these co
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,Edge AI Deployment and Stream-Based Time Series Classification Within ARTHUR,nd productivity. This study delves into the concept of edge computing, where AI algorithms are deployed closer to data sources within a distributed architecture. The ARTHUR framework, a versatile Data Acquisition System with Distributed Sensors, developed under the slogan “test before invest”, is in
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