The Quality of Service Research Laboratory (QORE, pronounced “core”) is dedicated to advancing theoretical and applied research on resource provisioning and service-level assurance in computer systems. Our research focuses on developing rigorous methodologies and predictive models to enhance user-perceived Quality of Service (QoS). The lab research efforts are primarily centred on optimising cost and responsiveness in the deployment and optimization of artificial intelligence and machine learning (AI/ML) workloads across the cloud continuum, encompassing cloud, edge, and Internet of Things (IoT) environments.
The research themes we focus on are in particular:
- QoS management techniques. Investigating adaptive techniques and algorithms to optimize resource allocation in dynamic, heterogeneous computational environments.
- Predictive modeling and quantitative evaluation: Formulating robust predictive frameworks and cost models to assess and enhance system QoS.
- Dependability and fault-tolerance: Developing resilient architectures and methodologies to ensure system reliability and robustness in AI/ML deployments and inference serving.
Further details on our recent and ongoing work can be found on our Research page.
Opportunities for collaboration
We invite inquiries from academic and industry interested in collaborative research or finding potential synergies. If you are a prospective PhD or postdoctoral applicant, read how to join us.
