Jul 2026· Annual International Computer Software and Applications Conference· pp. 1677-1680· 0 citations· 20 references
Abstract
CloudSkin aims to create a cognitive cloud-edge continuum platform that optimally exploits heterogeneous resources. Using AI, the platform automatically adapts to system and application behavior, and enables secure and seamless service deployment. Barcelona Supercomputing Center has led the design and development of an AI-based “Learning Plane” to automatically and continuously manage services in the cloudedge continuum to adapt to the dynamic environment. In the project, we enabled basic system models and workload characterization including regressions and time-series models, different levels of smart policies including heuristics and reinforcement learning, and we developed a data-connector agent to leverage those mechanisms towards real-world use cases. In this paper, we report on the technical results and insights we have explored within the project, explain how they are integrated as a learning plane to support CloudSkin use cases, and finally outline new open research lines.
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