Systems and scalability

This group focuses on research in systems, performance and scalability. The group investigates how scale can be used as a key aspect for the design, implementation and validation of computer and information systems.

The group focuses on both theoretical foundations and application of systems and scalability – these include:

Systems and Performance Modelling: Petri nets, Markov Models and Process Algebra
Representation: Graph-based models of scalable systems
Implementation: Cloud/Edge systems, Internet of Things and high performance computing
Applications: Scientific Computing, Scalable sensing in smart cities, scalable machine learning
Testbeds: for evaluating systems research.

Aims

We aim to bring together theoretical foundations and practical aspects of systems and scale.

Research

Research topics currently of interest to group members include:

Use of tools for representing scalable systems: Petri nets (Reference net) Modelling, Using Process Algebras and stochastic representations for modelling systems (Reinecke, Pereira, Theodorakopoulos)
Performance Analysis and Monitoring: Monitoring container frameworks (Kubernetes, Docker) and IoT environments (Pereira, Rana, Theodorakopoulos)
System of systems and scalable cyber-physical simulation (Saxena).