Presenter: Gabriele Scaffidi Militone
Monday, January 27th, 2025, 5:30 PM
Location: Sala Grande Covivio, Corso Ferrucci 112
ABSTRACT
The advent of the cloud continuum marks a significant step forward in computing, enabling the seamless integration of resources spanning edge, private, and public clouds. This paradigm shift offers significant opportunities. However, effectively orchestrating and optimizing job scheduling and resource utilization across heterogenous clusters remains a complex challenge.
The presented work focuses on the design and development of a platform that enables cooperative usage of heterogeneous clusters by leveraging tools such as Kubernetes and Karmada to aggregate and efficiently utilize diverse resources. An advanced scheduler for Kubernetes – powered by heuristics, machine learning, and AI models – considers user requirements and metrics such as resource utilization, energy consumption, and usage patterns to ensure efficient and effective operation.
BIOGRAPHY
Gabriele Scaffidi Militone completed his Master’s Degree in Computer Engineering at Politecnico di Torino in 2023, with a thesis titled “Development of a microservice for Data Storage”. Currently, he is a PhD student and a member of the DBDM research group and the SmartData@Polito center, where he focuses on investigating cloud continuum frameworks and applying machine learning techniques to advance this field.