Networks and Systems Research Theme (NetSys)
The Networks and Systems research theme in the Department of Computer Science exists to research all aspects of networking and communicating systems.
This includes the underlying mathematical theory to practical creation and operation of networked systems, with specific focus on issues related to Internet and control, data centre networks, edge/fog networks, network resilience, network performance modelling and measurement, performance evaluation with Quality of Service (QoS) constraints, scheduling and load balancing, vehicular networks and cyber security, algorithms and analysis.
The main research topics in our Networks and Systems research theme are as follows:
- Network Management
- Internet Protocols
- Network Performance Measurement and Modelling
- Network Programmability
- In-Network Computing
- Data Centre Networking
- Vehicular Network
- Accessibility and Usability
- Network Resilience
- Edge Computing
- Distributed Computing
- Scheduling and Load Balancing
- Management of Storage Systems
- Data Structures for Storage Systems
- QoS Provisioning and Enhancement in Heterogeneous Networks
- Network Security
- Data Governance and Security
The theme has its own specialist lab facilities housed within the Haslegrave Building, which include:
- a multi-computer routing and Internet algorithm test network
- a wireless sensor network development platform
- a line-rate network traffic generator
- a software defined data centre network testbed
- a programmable edge computing testbed consisting of over 300 Raspberry Pis and programmable network switches
In addition, students and members of staff are also currently sponsored by a nationally - leading cloud operator with unlimited access to virtual data centre resources. Our research work has been mainly funded by EPSRC, MoD, BAE Systems and other funding bodies. Our industrial collaborators include BAE Systems, Jennic, Arqiva, Sure, Toyota, Sensinode and Rolls Royce et al.
The NetSys theme hosts a number of externally funded research projects.
- Development of enhanced Mobility as a Service with Predictive analytics capability enabling understanding of customer behaviours (KTP)
Academic Members
Professor Tim Watson (Professor)
Cyber Security and Resilience, AI