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Titlebook: Advances in Service-Oriented and Cloud Computing; International Worksh Christian Zirpins,Guadalupe Ortiz,Damian Tamburri Conference proceed

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C. Bona,C. Galletti,A. Lucifredients, enabling the usage of different concretizations to match one particular deployment. This paper provides an overview of the DOML language: its layers and extension mechanisms, as well as an example to showcase its modeling capabilities.
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Ajaz Ahmad Pir,Tabasum Mushtaq,A. Parthibant been covered. However, the collected measurements in these areas remains sparse. Therefore, we continuously interpolate the current temperature by utilizing machine learning algorithms. With the existing measurements from mobile sensor stations we train a regression model to learn their dependenci
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MIDA: Micro-flow Independent Detection of DDoS Attacks with CNNsolume attacks, an efficient traffic aggregation scheme preserving detection-relevant traffic characteristics is introduced. To this end, traffic is aggregated into a compact, two-dimensional image representation that facilitates classification with . (CNNs). The feasibility of the attack detection i
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Cloud Computing Continuum Research Topics and Challenges. A Multi-source Analysiss for the adoption and deployment of cloud computing: the transition to a remote workforce, entertainment, e-commerce, and especially remote education have affected the cloud industry and how providers are responding to the sudden and significant increase in demand for cloud solutions and services.
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