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The wide-spread use of P2P video streaming systems have introduced a large number of unnecessary traverse links leading to substantial network inefficiency. To address this problem and achieve better streaming performance, the authors propose to enable cooperation among group peers, which are geographically neighboring peers with large intra-group upload and download bandwidths. Considering the peers' selfish nature, they formulate the cooperative streaming problem as an evolutionary game and derive the Evolutionarily Stable Strategy (ESS) for every peer. Moreover, they propose a simple and distributed learning algorithm for the peers to converge to the ESSs.
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