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Learning-Augmented Online Packet Scheduling with Deadlines
Feb. 26, 2024, 5:44 a.m. | Ya-Chun Liang, Clifford Stein, Hao-Ting Wei
cs.LG updates on arXiv.org arxiv.org
Abstract: The modern network aims to prioritize critical traffic over non-critical traffic and effectively manage traffic flow. This necessitates proper buffer management to prevent the loss of crucial traffic while minimizing the impact on non-critical traffic. Therefore, the algorithm's objective is to control which packets to transmit and which to discard at each step. In this study, we initiate the learning-augmented online packet scheduling with deadlines and provide a novel algorithmic framework to cope with the …
abstract algorithm arxiv control cs.ds cs.lg cs.ni flow impact loss management modern network scheduling the algorithm traffic type
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