Research Article
Equilibrium selection in multistage congestion games for real-time streaming
@INPROCEEDINGS{10.4108/ICST.VALUETOOLS2009.7633, author={Giovanni Rossi and Stefano Ferretti and Gabriele D’Angelo}, title={Equilibrium selection in multistage congestion games for real-time streaming}, proceedings={3rd Workshop on Game Theory in Communication Networks}, publisher={ACM}, proceedings_a={GAMECOMM}, year={2010}, month={5}, keywords={Equilibrium analysis Selective and timely dissemination of information Coordination in network communications Distributed artificial intelligence.}, doi={10.4108/ICST.VALUETOOLS2009.7633} }- Giovanni Rossi
Stefano Ferretti
Gabriele D’Angelo
Year: 2010
Equilibrium selection in multistage congestion games for real-time streaming
GAMECOMM
ICST
DOI: 10.4108/ICST.VALUETOOLS2009.7633
Abstract
We model peer-to-peer real-time streaming as a multistage congestion game with strategies consisting of time-sequences of network nodes (or peers), and identify a large set of strategy profiles through which the whole content reaches all peers in a minimum number of time-periods. In order to make these profiles sustainable as equilibria, we provide strategy restriction mechanisms implementing those equilibria where both streaming duration and congestion are minimized. Their functioning is exemplified in a simple simulation environment. The potential and social cost of equilibrium without strategy restrictions are also investigated.
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