Scheduling, Resource Management and Decision Making for Cloud / Fog / Edge Computing
Contact admissions office
Other projects with the same supervisor
- Finding a way through the Fog from the Edge to the Cloud
- Dynamic Resource Management for Intelligent Transportation System Applications
- Managing the data deluge for Big Data, Internet-of-Things and/or Industry 4.0 environments
- Job and Task Scheduling and Resource Allocation on Parallel/Distributed systems including Cloud, Edge, Fog Computing
- Problems in large graphs representing social networks
- Competition Funded Project (Students Worldwide)
This research project is one of a number of projects at this institution. It is in competition for funding with one or more of these projects. Usually the project which receives the best applicant will be awarded the funding. Applications for this project are welcome from suitably qualified candidates worldwide. Funding may only be available to a limited set of nationalities and you should read the full department and project details for further information.
In modern Cloud / Fog / Edge computing systems there are various heterogeneous machines or devices that typically handle large volumes of data and computation. In such environments, allocation of work onto resources becomes a significant challenge for their efficient and effective use. For example, a certain allocation approach may no longer be a good option if there is a change in the load of these resources (or a change in data sizes, network traffic, monetary cost or other application aspects). The idea of this project is to study problems in the field of managing resources (from actual scheduling to decisions involved in the use of resources), stemming from typical (often data- or compute-intensive) applications, workloads and platforms. The project should propose and evaluate resource management (or Scheduling, Decision Making) solutions and algorithms that explore the various trade-offs and deliver cost-effective solutions for the use of the multiple resources.
Applicants will be required to address the following.
- Why do you want to do a PhD?
- In terms of personality and temperament, why do you believe you're suitable for doing a PhD and describe any experience that demonstrates your capacity to conduct research?
- How did you become interested in the ideas you mentioned in your research proposal?
- Outline the objectives of your research and explain the importance of this research in the context of your current knowledge?
- From your degree transcript what was your best and worst unit and why?
- What was your favourite unit and why?
- What was the most difficult part of your final year project and how did you overcome it?
- Describe how you have helped another with their learning either informally or formally or any service or leadership roles you might have had including extracurricular activities.
- Describe any community activities that you have been part of; such as hackathons, societies related to academics, or other extracurricular community activities for which you have participated in.
- How do you see your future after the PhD?