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Details of Grant 

EPSRC Reference: GR/T18615/01
Title: Whole System Modelling Of Large-Scale Communication Networks For What-If Evaluation
Principal Investigator: Pitts, Professor JM
Other Investigators:
Schormans, Dr JA Arrowsmith, Professor DK Phillips, Dr C
Mondragon, Dr RJ
Researcher Co-Investigators:
Project Partners:
Department: Sch of Electronic Eng & Computer Science
Organisation: Queen Mary University of London
Scheme: Standard Research (Pre-FEC)
Starts: 01 October 2004 Ends: 30 September 2007 Value (£): 237,237
EPSRC Research Topic Classifications:
Networks & Distributed Systems
EPSRC Industrial Sector Classifications:
Communications
Related Grants:
Panel History:  
Summary on Grant Application Form
Common simulation platforms have played a key role in the design and deployment of wide-area Internet protocols. These protocols are vital to the exchange of electronic information - the life-blood of the modem knowledge-based economy.This project aims to develop new methods for supporting the simulation of large-scale communications networks by using national supercomputing services. Many areas of computational science and engineering research are increasingly being focused on the simulation of whole systems, rather than just system components. This project aims to create a new user community that will harness these high-end computing facilities (a) for researching the next generation of networking services and applications, and (b) for what-if evaluation of carrier-scale (i.e. whole system) mobile and broadband network infrastructure. 'The research will be based around open, extensible simulation technologies (ns-from the Internet community; HLA-from the defence sector) to encourage speedy take-up by other networking research teams. The project will also address the significant methodological challenges inherent in large-scale network simulation. Shared network infrastructures are known to exhibit complex, highly variable and non -linear patterns of behaviour. The methodological challenges relate to the scale and complexity of network scenarios, the measurement, analysis and visualisation of results, and the reproducibility and validation of research outcomes for large-scale scenarios.The research will be undertaken by the Network and Service Assurance Laboratory, part of the Communications Research Group at Queen Mary, University of London, in conjunction with national supercomputing services at the University of Manchester.
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