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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書目名稱Cloud Computing and Services Science影響因子(影響力)




書目名稱Cloud Computing and Services Science影響因子(影響力)學(xué)科排名




書目名稱Cloud Computing and Services Science網(wǎng)絡(luò)公開度




書目名稱Cloud Computing and Services Science網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Cloud Computing and Services Science被引頻次




書目名稱Cloud Computing and Services Science被引頻次學(xué)科排名




書目名稱Cloud Computing and Services Science年度引用




書目名稱Cloud Computing and Services Science年度引用學(xué)科排名




書目名稱Cloud Computing and Services Science讀者反饋




書目名稱Cloud Computing and Services Science讀者反饋學(xué)科排名

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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

intrigue

,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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