A Deep Reinforcement Learning Approach for Deploying SDN Switches in ISP Networks from the Perspective of Traffic Engineering
Author:
Affiliation:
1. Fuzhou University,College of Computer and Data Science
2. Tsinghua University,Department of Computer Science and Technology
Funder
National Natural Science Foundation of China
Natural Science Foundation of Fujian Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9831188/9831201/09831203.pdf?arnumber=9831203
Reference23 articles.
1. One step at a time: Optimizing SDN upgrades in ISP networks
2. Routing optimization with path cardinality constraints in a hybrid SDN
3. Incremental deployment for traffic engineering in hybrid SDN network
4. Task-Oriented Deep Reinforcement Learning for Robotic Skill Acquisition and Control
5. Literature survey of statistical, deep and reinforcement learning in natural language processing
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