In this paper, we present a machine learning based eviction approach which can identify whether a flow entry is active or inactive and thus timely evict the ...
Machine Learning based Flow Entry Eviction for OpenFlow Switches. Hemin Yang ... OpenFlow switch will evict an existing flow entry to make space for new one ...
In [97], the authors used machine learning techniques to determine which flow should be eliminated. ... ... A different technique based on machine learning has ...
This paper proposes Smart Table EntRy Eviction for OpenFlow Switches (STEREOS), which uses machine learning to classify flow entries as active or inactive ...
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This paper is a significant extension of our prior work in which we first proposed network-data-based machine learning for switch-controlled on-demand flow ...
In this paper, we propose Smart Table EntRy Eviction for OpenFlow Switches (STEREOS), which uses machine learning to classify flow entries as active or inactive ...
Feb 1, 2024 · Yang H., Riley G.F. Machine learning based flow entry eviction for OpenFlow switches; In Proceeding of the 27th International Conference on ...
This research is based on minimizing the communication between the SDN controller and the switch ... SDN flow entry management using reinforcement learning. ACM ...
Jan 21, 2022 · ... based on machine learning. This method ... eviction module eliminates flow entries ... In the OpenFlow switch, when the packets do not match flow ...
OpenFlow is a communication protocol defined between an SDN controller and OpenFlow switches, programmatically allowing the direct access to the forwarding ...