ComEdge: Cloud-Native Platform for Integrated Computing and Communication in Satellite-Terrestrial Network

被引:0
|
作者
Shi, Haoyang [1 ]
Zhang, Xing [1 ]
Wu, Peixuan [1 ]
Chen, Jingkai [1 ]
Zhang, Yufei [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
关键词
satellite-terrestrial network; cloud-native edge computing; integrated computing and communication; deep reinforcement learning; core network; ARCHITECTURE;
D O I
10.3390/electronics12204252
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Leveraging technological advancements such as containers, microservices, and service mesh, cloud-native edge computing (CNEC) has become extensively discussed and applied in both academia and industry. The integration of mobile edge computing and communication is crucial for the future communication architecture in order to fully utilize distributed and fragmented communication resources and computing power. The potential for cloud-native integration can help merge mobile edge computing and communication, enhancing network flexibility and resource utilization. This paper investigates the implementation plan for extending cloud-native capabilities to integrated computing and communication (INCCOM) in the satellite-terrestrial network. We construct an experimental verification platform called ComEdge in a real-world setting. Subsequently, we analyze the architecture, functional characteristics, and deployment of the platform in a real-world environment. Furthermore, we explore the solution of deep reinforcement learning in the deployment of cloud-native core network and conduct a preliminary verification of the platform's potential to enable artificial intelligence in a real production environment, which will provide guidance to both academic and industry sectors. Finally, we conduct an analysis on the challenges and opportunities encountered by the cloud-native INCCOM network system.
引用
收藏
页数:15
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