| Autor: |
HU Daoyun, QI Jin, LU Qianchun, LI Feng, FANG Hongqiang |
| Zdroj: |
Telecommunications Science; 2021, Vol. 37 Issue 2, p107-114, 8p |
| Abstrakt: |
With the development and application of 5G network, the amount of traffic in network increased rapidly, which caused the lack of bandwidth resource. In order to improve the utilization of network resource and satisfy the critical user requirement for QoS (quality of service), a novel traffic engineering algorithm based on deep learning in SDN was proposed. At last, simulation results show that the proposed algorithm not only can calculate an efficient path for service in real time, but also can improve the QoS and the utilization of network resource, as well as reduce network congestion. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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