Title | ||
---|---|---|
NetworkAI: An Intelligent Network Architecture for Self-Learning Control Strategies in Software Defined Networks |
Abstract | ||
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The past few years have witnessed a wide deployment of software defined networks facilitating a separation of the control plane from the forwarding plane. However, the work on the control plane largely relies on a manual process in configuring forwarding strategies. To address this issue, this paper presents NetworkAI, an intelligent architecture for self-learning control strategies in software defined networking networks. NetworkAI employs deep reinforcement learning and incorporates network monitoring technologies, such as the in-band network telemetry to dynamically generate control policies and produces a near optimal decision. Simulation results demonstrated the effectiveness of NetworkAI. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/JIOT.2018.2859480 | IEEE Internet of Things Journal |
Keywords | Field | DocType |
Monitoring,Computer architecture,Machine learning,Internet of Things,Process control,Real-time systems | Forwarding plane,Software deployment,Optimal decision,Computer science,Computer network,Process control,Intelligent Network,Network monitoring,Software-defined networking,Distributed computing,Reinforcement learning | Journal |
Volume | Issue | ISSN |
5 | 6 | 2327-4662 |
Citations | PageRank | References |
3 | 0.37 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Haipeng Yao | 1 | 143 | 17.59 |
Tianle Mai | 2 | 27 | 3.43 |
Xiaobin Xu | 3 | 145 | 22.74 |
Peiying Zhang | 4 | 79 | 15.21 |
Maozhen Li | 5 | 1354 | 183.79 |
Yunjie Liu | 6 | 72 | 6.47 |