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基于 SDN 的可扩展 4G/5G 核心网网络切片机制:一种 Kubernetes 方法。

SDN-Based Network Slicing Mechanism for a Scalable 4G/5G Core Network: A Kubernetes Approach.

机构信息

Communications Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania.

Department of Communications and Networking, Aalto University, 02150 Espoo, Finland.

出版信息

Sensors (Basel). 2021 May 29;21(11):3773. doi: 10.3390/s21113773.

Abstract

Managing the large volumes of IoT and M2M traffic requires the evaluation of the scalability and reliability for all the components in the end-to-end system. This includes connectivity, mobile network functions, and application or services receiving and processing the data from end devices. Firstly, this paper discusses the design of a containerized IoT and M2M application and the mechanisms for delivering automated scalability and high availability when deploying it in: (1) the edge using balenaCloud; (2) the Amazon Web Services cloud with EC2 instances; and (3) the dedicated Amazon Web Services IoT service. The experiments showed that there are no significant differences between edge and cloud deployments regarding resource consumption. Secondly, the solutions for scaling the 4G/5G network functions and mobile backhaul that provide the connectivity between devices and IoT/M2M applications are analyzed. In this case, the scalability and high availability of the 4G/5G components are provided by Kubernetes. The experiments showed that our proposed scaling algorithm for network slicing managed with SDN guarantees the necessary radio and network resources for end-to-end high availability.

摘要

管理大量的物联网和机器对机器 (M2M) 流量需要评估端到端系统中所有组件的可扩展性和可靠性。这包括连接、移动网络功能以及接收和处理来自终端设备数据的应用程序或服务。首先,本文讨论了容器化物联网和 M2M 应用程序的设计,以及在以下情况下部署时实现自动化可扩展性和高可用性的机制:(1)使用 balenaCloud 的边缘;(2)具有 EC2 实例的亚马逊网络服务 (AWS) 云;以及(3)专用的亚马逊网络服务物联网服务。实验表明,在资源消耗方面,边缘和云部署之间没有显著差异。其次,分析了用于扩展提供设备与物联网/M2M 应用程序之间连接的 4G/5G 网络功能和移动回程的解决方案。在这种情况下,Kubernetes 提供了 4G/5G 组件的可扩展性和高可用性。实验表明,我们提出的使用 SDN 管理的网络切片扩展算法保证了端到端高可用性所需的无线电和网络资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4db/8198574/70fbc3e38a00/sensors-21-03773-g001.jpg

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