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Traffic in data networks is known to fluctuate heavily, which can result in sudden service degradation. Handling these traffic demands that are bursty and hard to predict is a major challenge. The authors present REPLEX, a distributed algorithm for fast dynamic traffic engineering that is based on game theoretic principles. Previous experiments have shown drastic performance improvements when using REPLEX in traditional networking contexts. In this paper, they argue that REPLEX why perfectly suited for application in future networks.
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