QoS Management. We work extensively on Quality of Service (QoS) in edge/fog computing. Specifically, our work focuses on tackling hard decision problems in resource allocation, scheduling, and service-level assurance. Our research interests in this area include:
- Resource management
- Scheduling and load-balancing
- System topology design and deployment
See our recent QoS Management publications for more details.
Computer System Modelling. We investigate AI/ML-based and analytical models to describe phenomena in distributed computing systems, such as load balancing, faults, queueing, synchronization, caching. Our research interests in this area include:
- Deep surrogate models
- Attention and Transformers
- Queueing theory/Markov chains
See our recent Computer System Modelling publications for more details.
Dependability and Fault-tolerance. We study methods to predict and manage faults in edge/fog computing systems. Our goal is mainly the design of proactive methods to minimise any reduction in QoS arising from faults and to select remediation actions. Our research interests in this area include:
- Proactive fault management
- Anomaly detection
- Resilient architectures
See our recent Dependability and Fault-tolerance publications for more details.