Automated Provisioning of Cloud-Native Network Functions in Multi-Cloud Environments

被引：0
|
作者：
Hirai, Shiku [1 ]
Tojo, Takuya [1 ]
Seto, Saburo [1 ]
Yasukawa, Seisho [1 ]
机构：
[1] NTT Corp, Network Technol Labs, Musashino, Tokyo, Japan
来源：
PROCEEDINGS OF THE 2020 6TH IEEE CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2020): BRIDGING THE GAP BETWEEN AI AND NETWORK SOFTWARIZATION | 2020年
关键词：
CNF; Resource Provisioning; Kubernetes; 5GC; vEPC; Network Slicing;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Cloud-native Network Functions (CNFs), which are an advanced form of Virtualized Network Functions (VNFs), are expected to optimize network slicing and make the development and deployment cycle of network services faster than VNFs by using a container-based microservices architecture. However, to satisfy the requirements for high reliability and performance assurance unique to network services, additional functions specific to the Kubernetes-based CNF platform are required. In this demonstration, we propose an automated CNF provisioning engine that optimizes the hardware resources of CNFs in multi-cloud environments on the basis of performance prediction and demonstrate its effectiveness by implementing it on Kubernetes as a core function of the future CNF platform.
引用
收藏
页码：359 / 361
页数：3
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