EPSRC Reference: |
GR/S15730/01 |
Title: |
Adaptive Methods and Congestion Control for Internet Traffic |
Principal Investigator: |
Arrowsmith, Professor DK |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Sch of Mathematical Sciences |
Organisation: |
Queen Mary University of London |
Scheme: |
Overseas Travel Grants Pre-FEC |
Starts: |
07 November 2002 |
Ends: |
06 May 2003 |
Value (£): |
6,550
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EPSRC Research Topic Classifications: |
Networks & Distributed Systems |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
It was shown by Leland in the mid-90s that packet traffic in an ethernet network exhibited self-similarity or long-range dependence (LRD). High variability and bursty behaviour of the packet traffic rate is seen over a range of time scales, by contrast, for example, with 'memoryless' voice traffic. One of the key statistical features which describes the self-similarity is the auto-correlation of packet profiles in a binary channel. The auto-correlation decay is exhibited as a power-law of the lag time. Essentially the variance of the batch averages does not decay rapidly with increase of the batch size. This results in LRD traffic with so-called 'memory'. This is to be compared with the once traditional voice-traffic over communication channels which is described as 'short-term' dependent' traffic. The key problems to address are:(a) the precise nature of LRD in networks and how it changes with respect to natural cycles of usage, type of traffic; (b) the modelling of these phenomena, (c) the nature of the onset of congestion in real networks; (d) the adapting of current protocols and the development of new protocols to address the long onset of congestion for LRD traffic and the associated erratic arrival time of packets.
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Key Findings |
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Potential use in non-academic contexts |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Project URL: |
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Further Information: |
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Organisation Website: |
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