… issue, continual learning is a promising solution to retrain models of digital twins incrementally.
In this paper, we investigate digital twin synchronization issues via continual learning in …

… Cloud service providers (CSPs) usually adopt a conservative approach to … provisioning
to satisfy their service level objectives (SLOs). In order to maintain the quality of their services, …

… service provisioning, which involves scheduling and mapping incoming requests to the
services … resource provisioning strategies for different cloud services, with flowcharts presented …

… Therefore, endusers can attach to the closest edge cloud and access services with an …
services on their handheld mobile devices and can change locations during service provisioning. …

… the Q-learning with deep neural network for the virtual link mapping decision. Taking
advantage of the continual interactions with the surroundings and tryouts, Q-learning preferentially …

… of service provisioning options, ranging from VMs and containers to the emerging serverless
functions. For each provisioning … offering tradeoffs between service guarantees and cost …

… Additionally, we aim to introduce machine learning techniques to achieve autonomous
learning and optimization of algorithms, ensuring efficient resource scheduling for large-scale …

… services by leveraging the benefits of automation in network and service provisioning. Such
… for federated and continual learning,” Multimedia Tools Appl., vol. 81, pp. 3397–3419, Jan. …

… In this dissertation, we present an overview on the themes of Industry 4.0 and Continual
Learning. The original contributions presented in the following text are numerous and can be …

… While NetGPT is a promising AI-native network architecture for provisioning beyond
personalized generative services, in this article, we have not discussed all of the major research …