SIAM Journal on Discrete Mathematics
Journal of the ACM (JACM)
The price of anarchy is independent of the network topology
Journal of Computer and System Sciences - STOC 2002
Linear time algorithms for the ring loading problem with demand splitting
Journal of Algorithms
The Price of Routing Unsplittable Flow
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
The price of anarchy of finite congestion games
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Algorithmic Game Theory
Path decomposition under a new cost measure with applications to optical network design
ACM Transactions on Algorithms (TALG)
STACS'99 Proceedings of the 16th annual conference on Theoretical aspects of computer science
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This paper studies the selfish routing game in ring networks with a load-dependent linear latency on each link. We adopt the asymmetric atomic routing model. Each player selfishly chooses a route to connect his source-destination pair, aiming at a lowest latency of his route, while the system objective is to minimize the maximum latency among all routes of players. Such a routing game always has a Nash equilibrium (NE) that is a "stable state" among all players, from which no player has the incentive to deviate unilaterally. Furthermore, 16 is the current best upper bound on its price of anarchy (PoA), the worst-case ratio between the maximum latencies in a NE and in a system optimum. In this paper we show that the PoA is at most 10.16 provided cooperations within pairs of players are allowed, where any two players could change their routes simultaneously if neither would experience a longer latency and at least one would experience a shorter latency.