Algorithmic Game Theory
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In this paper, we introduce and investigate a novel class of multipath routing games with elastic traffic. Users open one or more connections along diffierent feasible paths from source to destination and act selfishly--seeking to transfer data as fast as possible.Users only control their routing choices , and once these choices have been made, the connection rates are elastic and determined via congestion control algorithms (e.g.TCP) which ultimately maximize a certain notion of the network utility. We analyze the existence and the performance of the Nash Equilibria (NEs) of the resulting routing games.