Online Service Function Chain Deployment for Live-Streaming in Virtualized Content Delivery Networks: A Deep Reinforcement Learning Approach
Video delivery is exploiting 5G networks to enable higher server consolidation and deployment flexibility. Performance optimization is also a key target in such network systems. We present a multi-objective optimization framework for service function chain deployment in the particular context of Liv...
Guardado en:
Autores principales: | Jesús Fernando Cevallos Moreno, Rebecca Sattler, Raúl P. Caulier Cisterna, Lorenzo Ricciardi Celsi, Aminael Sánchez Rodríguez, Massimo Mecella |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/69253122f11745158542494e995533c2 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Virtual Network Function Migration Method Based on Topology and Resource Awareness
por: YANG Yong, MENG Xiangru, KANG Qiaoyan, HAN Xiaoyang
Publicado: (2021) -
Optimization-Based Approaches for Minimizing Deployment Costs for Wireless Sensor Networks with Bounded Estimation Errors
por: Chiu-Han Hsiao, et al.
Publicado: (2021) -
Presenting a Multi-Objective Model based on Quality Function Deployment for Choosing Effectiveness Strategies in the Humanitarian Supply Chain
por: Hossein Safari, et al.
Publicado: (2020) -
Misconfiguration in Firewalls and Network Access Controls: Literature Review
por: Michael Alicea, et al.
Publicado: (2021) -
Detection of Induced Activity in Social Networks: Model and Methodology
por: Dmitrii Gavra, et al.
Publicado: (2021)