DeepMatch: Fine-Grained Traffic Flow Measurement in SDN With Deep Dueling Neural Networks

In this paper, we propose a novel flow rule matching framework, DeepMatch, in Software-Defined Networking (SDN) to provide a fine-grained traffic flow measurement capability. Specifically, the flow rule matching control at a particular SDN switch is examined to maximize the traffic flow granularity...

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Veröffentlicht in:	IEEE journal on selected areas in communications 2021-07, Vol.39 (7), p.2056-2075
Hauptverfasser:	Phan, Trung V., Nguyen, Tri Gia, Bauschert, Thomas
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Control algorithms Control systems Control theory Data retrieval deep reinforcement learning Flow measurement Markov analysis Markov decision process Markov processes Matching Monitoring Neural networks Optimization partially observable Markov decision process Performance evaluation Process control Software-defined networking Switches Traffic flow Traffic flow measurement
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