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Abstract

Methods and systems for detecting and predicting congestion patterns from network feedback are described. In the inventive embodiments, network feedback in the form of binary feedback messages is received. The network feedback can comprise any suitable feedback messages and, in the illustrated and described embodiments comprise packet loss events or ECN marks, to name just a few. The inventive embodiment uses the network feedback to predict when congestion is likely to occur in the future. Based on these predictions, the behavior of end users within the system can be modified so that congestion is reduced. Specifically, the data packets that are typically transmitted by the end users can be delayed until such a time when the predicted congestion is mitigated. Thus, the inventive systems and methods take a predictive, proactive approach to addressing network congestion issues, rather than a reactive approach.

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First Claim