… a Cloud-native test bed, leveraging artificial intelligence and machine learning approaches
… approach for optimizing the construction of Cloud-native test beds. The proposed solution’s …

… of cloud-native, but as we argue in the section “CloudNative Beyond Microservices,”
there is much more to the story. In fact, Ken Owens, the chief technology officer of the cloud-native …

… In this article, we present an Artificial Intelligence based … concept, cloud-native approach,
and Machine Learning (ML) … by this article to create Cognitive Cloud Native (CCN). The AIRO …

… Recent advances in Generative Artificial Intelligence (AI) techniques have shown that
resolution information can be translated across microscopy modes or axial planes to improve …

… different requirements when compared to cloud-based services and need … cloud-native 5G
CN, and develop schemes for dynamic scaling of network functions using Artificial Intelligence …

… abordagens baseadas em Machine Learning e Deep Learning… The usage of cloud-native
applications has been growing in … In order to diminish this problem, Artificial Intelligence-based …

… intelligence into them. Similar to the cloud native transformation stage, a mature cloud native
architecture is constantly evolving by adopting artificial intelligence, machine learning, and …

… cloud native availability based on the average unavailability. Therefore, for the cloud native
provided by the service layer, this paper defines the cloud native availability A as formula (1). …

… artificial intelligence (AI) and in particular machine learning (ML) methods assume computations
are conducted in a homogeneous cloud … Currently, AI’s cloud-centric architectural model …

… the role of cloud-native … , artificial intelligence is expected to play a very crucial role in
improving data warehousing. The incorporation of natural language processing, machine learning, …