DRL-PLink: Deep Reinforcement Learning With Private Link Approach for Mix-Flow Scheduling in Software-Defined Data-Center Networks
In datacenter networks, bandwidth-demanding elephant flows without deadline and delay-sensitive mice flows with strict deadline coexist. They compete with each other for limited network resources, and the effective scheduling of such mix-flows is extremely challenging. We propose a deep reinforcemen...
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Veröffentlicht in: | IEEE eTransactions on network and service management 2022-06, Vol.19 (2), p.1049-1064 |
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Sprache: | eng |
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