As software systems become an ever more important part of everyday life, the dependability of these systems is becoming ever more critical.
The unique, two-year Joint Master programme, the Erasmus Mundus Joint Msc in Advanced Systems Dependability (DEPEND) is offered by Maynooth University in Ireland, the University of St. Andrews in Scotland (UK), and the Université de Lorraine in Nancy (France). Up to 20 full, 2-year grants worth up to EUR 49,000 each (fees, travel, & subsistence) are available per year, funded by the European Erasmus+ EMJMD Programme: full details will be published soon on this website.
The course provides students with the knowledge, skill, and in-depth technical understanding of the key topics of safety, reliability, availability, and security of software-based systems. This is achieved by bringing together the theory and practice of software development through research projects and work experience in both industrial and research settings.
Students attend two of the three universities during the course, spending one year at each. Annual summer schools are an important element of the course, and these take place at a different university each year. The 120 ECTS course consists of taught modules, projects & dissertations, experiential learning activities (work placements), and opportunities to explore the culture of each country.
On successful completion of the course, students are awarded a Joint M.Sc. degree by a consortium of the three universities; the course is accredited in all three countries.
Courses are taught in English and are structured according to the ECTS. Students will be integrated into the culture of the country where they study through language and cultural courses provided by the Universities which they attend
The MSc in Computer Science (Applied) offers students with degrees that include three years of Computer Science a personalised programme of advanced CS modules to enhance their knowledge and fit their strengths. Furthermore, students deepen their research and practical skills through a project and dissertation plus an industrial work placement meaning they will get the opportunity to apply the skills from the lecture hall and the research laboratory in a real industrial environment. This will be a key part of their training and enhance their employment prospects following their graduation.
The course lasts two years. In year one, students will do 12 taught modules selected to complement their previous experience and knowledge. In year 2, semester 1 consists of an advanced module in programming plus a choice of optional modules. In addition, student undertake a major individual software project and preparation for work placement. In semester 2, students are placed within software companies to gain at least six months of relevant work experience.
Duration: 2 years Full-time
The goal of this proposal is to provide infrastructure providers (InPs) with the techniques for efficient service negotiation and resource management in order to maximize profit in competitive markets. More specifically, the objectives of this project are
To meet the demands of widely varied vertical applications, multiple heterogeneous logical network slices coexist on a shared infrastructure built with virt ualization technologies in 5G networks. Since no single provider in today’s network controls all end -to-end paths, a network slice from a SP has to be composed by using resources and VNFs from multiple InPs. Each InP involved embeds parts of the network slice and connects them using the external links among InPs. However, InPs have essentially no control over the dynamic and heterogeneous requests they receive. Moreover, different InPs and SPs take non-cooperative strategies in order to optimize their own utility functions. As a result, these dynamic and heterogeneous requests and the non -cooperative tussles between InPs and SPs lead to inefficient resource utilization and diminished profit margins for InPs.
The approach is to leverage machine-learning based resource management for dynamic network slice requests, and coupled with efficient negotiation strategies, in order to achieve improved resource utilization and more profit for InPs.
This project will further strengthen scientific research of IT Carlow by applying excellent research ideas to produce world-class research outcomes.