Distributed systems, dependability, energy-efficiency, resource management

I am happy to explore and supervise topics within distributed systems and dependability research, including fault tolerance and fault recovery, distributed machine learning, energy-efficient computing, Cloud gaming, and resource scheduling. If you have your own ideas for a research project you would like to pursue, I'm happy to discuss in more detail.

Evolving Distributed Systems Laboratory

Peter Garraghan is a Lecturer (Assistant Professor) in Computer Science and has published over 35 peer-reviewed articles within the field of distributed systems. His primary research expertise is studying the complexity and emergent behaviour of massive-scale distributed systems (Cloud computing, Datacenters, Internet of Things) to  propose design new techniques for enhancing system dependability, resource management, and energy-efficiency. Peter has industrial experience building large-scale production distributed systems, and has worked and collaborated internationally with the likes of Alibaba Group, Microsoft, STFC, CONACYT, and the UK datacenter and IoT industry.

• Massive-scale distributed systems (datacenters, Cloud computing, IoT, clusters)
• Fault tolerance & recovery
• Energy-efficient computing
• Distributed real-time interactive simulation
• Resource scheduling
• Machine learning at scale

Ph.D. in Computer Science (University of Leeds, UK)