A Prediction-Based Traffic Scheduling Framework for Multimedia Services in Dynamic Networks
Author:
Affiliation:
1. School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China
2. School of Computer Science and Technology, Hainan University, Haikou, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
Natural Science Research Start-up Foundation of Recruiting Talents of Nanjing University of Posts and Telecommunications
Fundamental Research Program of Shanxi Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/4234/10466646/10382614.pdf?arnumber=10382614
Reference10 articles.
1. Embedded fuzzy expert system for Adaptive Weighted Fair Queueing
2. Experience-driven Networking: A Deep Reinforcement Learning based Approach
3. On the Low-Latency Region of Best-Effort Links for Delay-Sensitive Streaming Traffic
4. DRL-PLink: Deep Reinforcement Learning with Private Link Approach for Mix-Flow Scheduling in Software-Defined Data-Center Networks
5. Graph Convolutional Reinforcement Learning for Collaborative Queuing Agents
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