Quality of service support in edge or cloud computing environments

Project description

The importance of Cyber-Physical Systems (CPS) continue to grow with the increasing pervasiveness of Information and Communications Technologies (ICT) and the development of the Internet of Things (IoT). One of the fundamental elements in IoT is the application of Edge and Cloud computing technologies, seeking to manage the infrastructure to reduce energy efficiency, reduce cost or enhance scalability, and at the same time ensuring applications’ Quality of Service requirements are fulfilled.

The combination of Edge/ Cloud Computing brings a powerful new functionality layer and enables the natural inclusion of modern IT technologies, enabling scalable computing at the edge, resource virtualization, supporting both real-time and non-real-time computing, modern application management and data interoperability middleware. Moreover, new families of applications rely on the exploitation of the capabilities offered by customised heterogeneous hardware such as CPUs, GPUs, FPGAs and heterogeneous multi-processor clusters all of which with various memory hierarchies. Also, there is a strong emphasis to integrate computing accelerators and data analytics tools in Edge and Cloud computing in order to cope with specific data processing capacities required by real-time data management for production monitoring.

This research aims to propose through a self-adaptive system architecture an application orchestration framework that defines novel automation and orchestration functions to support tight IoT applications’ performance, low energy, reactiveness, and robustness requirements via edge/cloud computing.

Entry requirements

Applications are invited from candidates with a minimum of a UK upper second class honours degree (2:1), and/ or a Master's degree in a relevant subject. We also recognise relevant industrial and academic experience.

How to apply

Formal applications for research degree study should be made online through the university's website. Please state clearly in the research information section of your application, the name of the PhD you wish to apply for is 'Quality of service support in edge/ cloud computing environments' as well as Dr Karim Djemame as your proposed supervisor. In the funding section, please state 'School of Computing Funded Studentships' as your sponsor.

If English is not your first language, you must provide evidence that you meet the University’s minimum English Language requirements.

We welcome scholarship applications from all suitably-qualified candidates, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and we would therefore particularly encourage applications from UK BME candidates.  All scholarships will be awarded on the basis of merit.

If you require any further information please contact the Graduate School Office
e: phd@engineering.leeds.ac.uk, t: +44 (0)113 343 8000.