Stelios Sotiriadis
Stelios Sotiriadis
I'm studying my PhD as a way of enhancing my employability, skills and knowledge.
”Stelios is studying his PhD in Computing.
Why I chose to study a PhD
I am studying my PhD as a way of enhancing my employability, skills and knowledge. It will also allow me to further my professional career in teaching and scientific research.
My research
The main body of my research study is focusing on the area of Cloud computing. In general Cloud computing offers a resource provisioning model of computational resources in an on-demand way. People may lease computing resources, including hardware and software, which are located to different places using their personal computer in a pay-as-you-go manner.
My research is focusing on the interoperability issues among several clouds by aiming of addressing scalable resource management decisions. The need for the specific research comes from the limitations of cloud environments regarding their hardware capacity and software availability. Thus, as the number of cloud resource consumers (cloud clients) is increasing significantly, it will become apparent in the near future that the capacity-oriented data centres of clouds will need to come together and agreement reached on common acting behaviours for improving their quality of service.
This PhD is focusing in the area of resource management (also called resource brokers) and more particularly in the part of scheduling jobs to interoperable clouds data-centres. The result will be a new adaptive and scalable resource management system (also known as super scheduler) for optimising inter-cloud workloads.
In general Cloud computing promises enormous benefits in the area of health care as the means of storing, manipulating and monitoring medical health records. The application of the proposed work in this area will improve the effectiveness of an inter-cloud environment of health data clouds by increasing the quality of the health records management. The hypothesis is that by incorporating the proposed scheduling algorithm, it will result in a remarkable enhancement of the group of health clouds efficiency.
