Cfr-rl
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Cfr-rl
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WebOct 14, 2024 · The CFR-RL scheme is presented with the goal of lowering maximum link utilization in a network and minimizing network disturbance that causes service disruption. By resending just 11–20.3% of the entire traffic, CFR-RL delivers near-optimal performance. WebJun 5, 2024 · CFR-RL: Traffic Engineering With Reinforcement Learning in SDN. Abstract: Traditional Traffic Engineering (TE) solutions can achieve the optimal or near-optimal …
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WebSep 18, 2024 · Under high network loads, the routing policies learned are seven times better than those of spectrum-aware Q-routing. Moreover, in , the authors proposed critical flow rerouting-reinforcement learning (CFR-RL), a reinforcement learning-based scheme that learns policies to automatically select critical flows for traffic matrices. The state uses ... Webwarning: this record contains sensitive security information that is controlled under 49 cfr parts 15, 1520, 1522 and 1549.no part of this record may be disclosed to persons without a "need to know," as defined in 49 cfr parts 15 and 1520, except with the written permission of the administrator of the transportation security administration or the secretary of …
WebJun 5, 2024 · In this paper, we propose CFR-RL (Critical Flow Rerouting-Reinforcement Learning), a Reinforcement Learning-based scheme that learns a policy to select critical …
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