Giuliano Casale

Giuliano Casale is a Reader in Modelling and Simulation at the Department of Computing, Imperial College London. His research focuses on Quality-of-Service, resource management, edge computing, and inference serving. He leads the Quality of Service Research Lab (QORE), which explores quality assurance, fault-tolerance, and resource management in distributed software systems and services. Casale teaches two courses at undergraduate and Master’s levels: 50008 Probability and Statistics and 70068 Scheduling and Resource Allocation. He welcomes prospective PhD and post-doc applicants interested in modelling and its applications to computer systems.

Giuliano Casale is a researcher in the Department of Computing at Imperial College London, focusing on Quality of Service, Edge AI, Orchestration, and Performance Evaluation. His work explores the design and optimization of cloud and edge computing systems, emphasizing resource management, performance engineering, and model-driven approaches. Casale's research includes the development of tools for system modeling, autoscaling for microservices, and sustainable cloud computing solutions. He has contributed to anomaly detection in time series data and the evaluation of resource demand estimation techniques. His publications highlight the integration of AI in edge and fog computing, as well as the challenges of modeling and simulating complex workloads for QoS prediction.