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.

G. Rossi, S. Ferretti, G. D'Angelo (2009). Equilibrium Selection in Multistage Congestion Games for Real-Time Streaming. BRUSSELS : ICST [10.4108/ICST.VALUETOOLS2009.7633].

Equilibrium Selection in Multistage Congestion Games for Real-Time Streaming

FERRETTI, STEFANO;D'ANGELO, GABRIELE
2009

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.
2009
Proceedings of 3nd ACM/ICST International Workshop on Game Theory in Communication Networks (GAME-COMM 2009)
1
10
G. Rossi, S. Ferretti, G. D'Angelo (2009). Equilibrium Selection in Multistage Congestion Games for Real-Time Streaming. BRUSSELS : ICST [10.4108/ICST.VALUETOOLS2009.7633].
G. Rossi; S. Ferretti; G. D'Angelo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/86080
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