QR-SDN: Towards Reinforcement Learning States, Actions, and Rewards for Direct Flow Routing in Software-Defined Networks

Rischke, Justus; Sossalla, Peter; Salah, Hani; H. P. Fitzek, Frank; Reisslein, Martin

doi:10.1109/access.2020.3025432

Public

QR-SDN: Towards Reinforcement Learning States, Actions, and Rewards for Direct Flow Routing in Software-Defined Networks

Published in IEEE Access • Jan 1, 2020

Authors:

Justus Rischke

Peter Sossalla

Hani Salah

Abstract

Flow routing can achieve fine-grained network performance optimizations by routing distinct packet traffic flows over different network paths. While the centralized control of Software-Defined Networking (SDN) provides a control framework for implementing centralized network optimizations, e.g., opt...

Subject

Computer science

Reinforcement learning

Static routing

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