Dr. Rob Brennan

Summary

Data quality impacts data's fitness for use for the application at hand. There are a wide range of quality indicators that can be used to quantify quality. However, it is a challenge for consumers to identify the most appropriate quality indicators for choosing a dataset for a specific task. This problem stems from the fact that different domains require different quality indicators to demonstrate fitness for use. Whilst a number of quality assessment frameworks exist, none of these tackle the fundamental challenge of indicator selection. The novelty of this project is that it provides an intelligent recommender system that builds on top of existing quality frameworks in order to assist data consumers by automatically suggesting quality indicators for the task at hand. These quality indicators will then facilitate the task dependent appraisal of datasets on the Web of Data. The goal is to support data consumers and enhance their productivity by finding fit for use data sources for their tasks.

Funding Agency

Irish Research Council

Programme

Postdoctoral Fellowship (Government of Ireland)

Person Months

24

Summary

The next phase of embedded systems research is networked embedded systems (NES) where embedded systems communicate to form networks of distributed intelligence from the local scale, e.g. responsive buildings, to massively networked systems, e.g. environmental monitoring. This is a unique project addressing the issue of networked embedded systems (e.g. sensors) in a holistic way across the stack from chip design, networking, middleware, and service management. This project is being undertaken with a cross-disciplinary team in conjunction with groups in CIT, UCC, UCD and TCD's DSG. In this project, KDEG is furthering its research in semantic interoperability, semantic driven information routing and declarative means for adapting behaviour of individual devices and their co-ordination within a network.

Funding Agency

HEA

Programme

PRTLI

Person Months

31

Summary

This project supported the development of an EU H2020 project called ALIGNED co-ordinated by Rob Brennan as PI. It was originally to be called SEDICE but changed to ALIGNED during the preparation process.

Funding Agency

Enterprise Ireland

Programme

H2020 Proposal Preparation Support for Co-ordinator

Person Months

4

Summary

Third generation mobile systems are driving a multi-system network landscape. Network management is crucial to guarantee optimum cooperation between network sub-systems. The aim of the GANDALF project is to use large scale network monitoring, advanced RRM rules and appropriate quality of service evaluation in order to achieve automation of network management tasks in a multi-system environment (GSM, GPRS, UMTS and WLAN). The GANDALF project will contribute to the following areas: Optimisation of the use of the available radio resources Provision of seamless services Monitoring and evaluation of Global user-perceived QoS for multi-system networks including WLAN Enhancement of global user perceived QoS Automated network management The project will develop appropriate techniques to collect and process network data on a large scale in order to produce key performance indicators allowing identifying malfunctions and / or to dynamically propose and perform healing actions. To optimise QoS delivery and overall systems performance in a multi-system environment, the project will propose new radio resource management algorithms together with methods for self-tuning. The project will demonstrate through network simulations the feasibility of the multi-system self-tuning concept. Finally, hardware demonstrations will also prove the viability of the ARRM and auto-tuning concepts developed in the project.

Funding Agency

CELTIC/Enterprise Ireland

Programme

CELTIC/Eurkea

Person Months

236

Summary

Using a market-based approach with co-operative intelligent agents to control load in telecoms signalling networks.

Funding Agency

EC

Programme

FP4