Distributed systems, dependability, energy-efficiency, resource management

I have a fully funded PhD position available in the following area:

1. Fault-tolerance for Massive-scale Distributed Systems

If this position is of interest to you, kindly get in touch to discuss in more detail.

Included, but not limited to: 1) Fault-tolerance in massive-scale distributed systems 2) Holistic power modelling for cloud datacenters 3) Data-driven scheduling for lower power, high performance, and dependable Cloud datacentres 4) Adaptive fault-tolerance 5) Distributed Cloud Gaming

Peter Garraghan is an active Computer Scientist and has since 2011 published over 30 peer-reviewed articles in the field of distributed systems. His primary research expertise is in massive-scale distributed systems (Cloud computing, Datacenters, Internet of Things) encompassing users, software, servers, and cooling. This entails the analysis, modeling and exploitation of emergent system phenomena and proposing novel techniques to enhance system dependability, resource management, and energy-efficiency. Peter has industrial experience building large-scale Internet-based distributed systems, and has worked and collaborated internationally with the likes of Alibaba Group, Microsoft, STFC, CONACYT, and the UK datacenter and IoT industry.

• Dependability in massive-scale distributed systems.
• Energy-efficient Cloud datacenters and the Internet of Things.
• Data science for Internet infrastructure.
• High performance & scalable simulation of complex distributed systems.
• Holistic distributed system resource management.

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