Equilibrium selection in multistage congestion games for real-time streaming

  • Authors:
  • Giovanni Rossi;Stefano Ferretti;Gabriele D'Angelo

  • Affiliations:
  • University of Bologna, Bologna, Italy;University of Bologna, Bologna, Italy;University of Bologna, Bologna, Italy

  • Venue:
  • Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
  • Year:
  • 2009

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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.