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Richard J. Gibbens
Researcher at University of Cambridge
Publications - 77
Citations - 4046
Richard J. Gibbens is an academic researcher from University of Cambridge. The author has contributed to research in topics: Network congestion & Network topology. The author has an hindex of 30, co-authored 77 publications receiving 3900 citations. Previous affiliations of Richard J. Gibbens include BT Group.
Papers
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Journal ArticleDOI
Resource pricing and the evolution of congestion control
Richard J. Gibbens,Frank Kelly +1 more
TL;DR: By appropriately marking packets at overloaded resources and by charging a fixed small amount for each mark received, end-nodes are provided with the necessary information and the correct incentive to use the network efficiently.
Journal ArticleDOI
Modelling incentives for collaboration in mobile ad hoc networks
TL;DR: The model incorporates incentives for users to act as transit nodes on multi-hop paths and to be rewarded with their own ability to send traffic and illustrates the way in which network resources are allocated to users according to their geographical position.
Proceedings ArticleDOI
A measurement-based study of MultiPath TCP performance over wireless networks
TL;DR: The performance of multi-path TCP in the wild is explored using one commercial Internet service provider and three major cellular carriers in the US to answer the following questions: How much can a user benefit from using multi- path TCP over cellular and WiFi relative to using the either interface alone.
Journal ArticleDOI
Effective bandwidths for the multi-type UAS channel
Richard J. Gibbens,P. J. Hunt +1 more
TL;DR: It is shown, via asymptotics and a range of specific examples, that it is possible to assign a notionaleffective bandwidth to each source, dependent not only on its mean bandwidth but also on its burstiness and on the channel.
Journal ArticleDOI
A decision-theoretic approach to call admission control in ATM networks
TL;DR: A simple and robust ATM call admission control is described, and the theoretical background for its analysis is developed, allowing an explicit treatment of the trade-off between cell loss and call rejection.