云原生的通信大数据平台中SDN控制器部署方法

李景文; 罗鹏

云原生的通信大数据平台中SDN控制器部署方法

引用本文：李景文，罗鹏.云原生的通信大数据平台中SDN控制器部署方法[J].计算技术与自动化,2026,(1):158-163

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作者	单位
李景文，罗鹏	（中国移动通信集团广西有限公司,广西南宁 530022）

中文摘要:研究了云原生的通信大数据平台中SDN控制器部署方法，以提高SDN控制器部署的灵活性、高可用性，更好地满足通信大数据平台需求。构建了云原生的通信大数据平台架构，将原始通信大数据上传到Kubernetes集群中，将其存储于HDFS，并导入至Hive数据资源仓库中，利用SDN交换机完成通信数据转发。构建以最低通信代价为目标，满足一台交换机仅能由一个控制器调度等约束的部署方案，最终通过终端层展示处理结果。研究结论表明，该部署方法不仅能够满足通信大数据平台的实时处理需求，还能在保证系统稳定性的同时，提供高效的数据处理和分析能力。通过实际应用验证，该方法在优化平台通信代价、平均失效率、平台弹性以及通信时延方面表现出色，为云原生通信大数据平台的构建和运维提供了有力的技术支持。

中文关键词:云原生通信大数据 SDN控制器部署 Kubernetes集群通信代价控制域

SDN Controller Deployment Method in Cloud Native Communication Big Data Platform

Abstract:Research on the deployment method of SDN controllers in cloud native communication big data platforms to improve the flexibility and high availability of SDN controller deployment, and better meet the needs of communication big data platforms. Build a cloud native communication big data platform architecture, upload raw communication big data to Kubernetes clusters, store it in HDFS, and import it into Hive data resource warehouses, using SDN switches to complete communication data forwarding. Build a deployment plan with the goal of minimizing communication costs, satisfying the constraints that a switch can only be scheduled by one controller, and ultimately display the processing results through the terminal layer. The research conclusion shows that this deployment method can not only meet the real-time processing requirements of communication big data platforms, but also provide efficient data processing and analysis capabilities while ensuring system stability. Through practical application verification, this method has shown excellent performance in optimizing platform communication costs, average failure rates, platform resilience, and communication latency, providing strong technical support for the construction and operation of cloud native communication big data platforms.

keywords:cloud native communication big data SDN controller deployment Kubernetes cluster communication cost control domain

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