About the Project
(1) Edge Computing is the notion of performing computation close to the data generation source, by significantly reducing data communication latency and ensuring that private data is maintained closer to the data generation source. Ideal edge computing infrastructures should be able to dynamically configure and adapt itself to facilitate a given sensing and security requirement, in the most efficient way. Edge computing is a novel research area, and often seen as the future of cloud computing for supporting real-time processing.
This theme design and evaluate novel edge resource orchestration algorithms, to address research challenges such as:
i. How to orchestrate service execution across different edge resources based on a number of constraints (e.g. energy, cost, ownership, privacy)
ii. How to dynamically adapt edge resources to meet Quality of Service or Quality of Experience targets for specific applications
iii. Use of edge computing resources for particular application scenarios – e.g. emergency response, “smart” buildings, elderly care, smart factory, etc.
We have a 100 node Edge computing infrastructure developed using RaspberryPis to conduct the evaluations.
(2) Data Science (Including Interdisciplinary Research): Understanding how data from edge resources can be analysed to address particular research questions in a timely and efficient manner, such as:
i. Trading comfort for energy efficiency in built environments;
ii. Use edge resources in autonomous vehicles;
iii. Wellbeing and Healthcare in homes and workspaces
HOW TO APPLY
Applicants should apply to the Doctor of Philosophy in Computer Science & Informatics.
In the research proposal section of your application, please specify the project title and supervisors of this project and copy the project description in the text box provided. In the funding section, please select the ‘self-funding’ option and specify that you are applying for the Edge Computing for Internet of Things project
Please contact Dr. Charith Perera ([email protected]) to discuss this project.
Supervisor Profile: http://charithperera.net/
A 2:1 Honours undergraduate degree or a master's degree, in computing or a related subject.
Applicants for whom English is not their first language must demonstrate their proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each skills component.
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