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Showing 1 to 2 of 2 for “"Shared Bottleneck Detection"”.

  1. FCoder: A real-time large-scale bottleneck detection mechanism with neural network and transfer learning

    Detecting shared bottlenecks among network flows is crucial in TCP Multipath to ensure TCP fairness and other applications related to cross-flow congestion control. The problem of whether two flows share a bottleneck has been well investigated in previous work, but a large-scale bottleneck

    uiuc Repository record for FCoder: A real-time large-scale bottleneck detection mechanism with neural network and transfer learning (opens in a new tab)

  2. Practical coupled rate control with co-bottleneck for video streaming

    Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-05-01

    uiuc Repository record for Practical coupled rate control with co-bottleneck for video streaming (opens in a new tab)