In this paper, we show that a properly tuned instant queue length based Explicit Congestion Notification (ECN) at the intermediate switches can alleviate both ...
In this paper, we propose a further look at ECN imple- mentation at the switches, and see if there is a way to ad- dress the above two TCP performance issues ...
Thus, we propose a learning-based ECN tuning based on the operation experience of datacenter networks. Reinforcement Learning. Tuning ECN dynamically can be ...
Dec 10, 2012 · Our experimental study demonstrates that dequeue marking is effective for increasing the maximum incast senders close to the per-formance limit ...
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Sep 27, 2024 · Proper ECN tuning significantly impacts the performance of ECN-based CC algorithms. Due to the fast buffer buildup and dynamic spatial-temporal ...
Aug 27, 2024 · In this paper, we present a lightweight and hierarchical automated ECN tuning algorithm called LAECN, which can fully exploit the performance benefits of deep ...
Abstract—In data centers, micro-burst is a common traffic pattern. The packet dropping caused by it usually leads to serious performance degradations.
Aug 9, 2021 · In this paper we report the design and implementation of an automatic run-time optimization scheme, ACC, which leverages the multi-agent reinforcement learning ...
May 20, 2024 · Abstract:Explicit Congestion Notification (ECN)-based congestion control schemes have been widely adopted in high-speed data center networks ...
Lower thresholds exacerbate the queue underflow while higher thresholds increase the queueing delays. In this paper, an Adaptive ECN (A-ECN) marking scheme is ...
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