Original paper
DeepPlace: Deep reinforcement learning for adaptive flow rule placement in Software-Defined IoT Networks
Abstract
In this paper, we propose a novel and adaptive flow rule placement system based on deep reinforcement learning, namely DeepPlace, in Software-Defined Internet of Things (SDIoT) networks. DeepPlace can provide a fine-grained traffic analysis capability while assuring QoS of traffic flows and proactively avoiding the flow-table overflow issue in the data plane. Specifically, we first investigate the traffic forwarding process in an SDIoT network,...
Paper Details
Title
DeepPlace: Deep reinforcement learning for adaptive flow rule placement in Software-Defined IoT Networks
Published Date
Jan 1, 2022
Journal
Volume
181
Pages
156 - 163
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