EPSRC logo

Details of Grant 

EPSRC Reference: GR/S86266/01
Title: Mathematical modelling of end to end congestion control.
Principal Investigator: Kelly, Professor F
Other Investigators:
Gibbens, Dr R
Researcher Co-Investigators:
Project Partners:
Department: Pure Maths and Mathematical Statistics
Organisation: University of Cambridge
Scheme: Standard Research (Pre-FEC)
Starts: 17 May 2004 Ends: 16 October 2008 Value (£): 312,389
EPSRC Research Topic Classifications:
Modelling & simul. of IT sys. Networks & Distributed Systems
Statistics & Appl. Probability
EPSRC Industrial Sector Classifications:
Communications
Related Grants:
Panel History:  
Summary on Grant Application Form
Describe the proposed research using (about 200) words geared to the non-specialist reader.In recent years the Internet has attracted the attention of many theoreticians, eager to understand the remarkable success of this diverse and complex artefact. A central element of the design philosophy that shaped the Internet is the end-to-end argument, and a key illustration of the argument is provided by the congestion avoidance algorithm of the Transmission Control Protocol (TCP). Why does this algorithm work so well? How might, or should, it evolve in the future? What are the theoretical limits upon end-to-end algorithms for congestion control? This proposal is intended to support the work of a research group in the Statistical Laboratory, Cambridge, which is contributing to the development and analysis of mathematical models that help address these issues.
Key Findings
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Potential use in non-academic contexts
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Impacts
Description This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Summary
Date Materialised
Sectors submitted by the Researcher
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Project URL:  
Further Information:  
Organisation Website: http://www.cam.ac.uk