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作 者:李坤浩 叶浩颖 LI Kunhao;YE Haoying(Guangdong Planning and Designing Institute of Telecommunications Co.,Ltd.,Guangzhou Guangdong 510630,China)
机构地区:[1]广东省电信规划设计院有限公司,广东广州510630
出 处:《信息与电脑》2025年第2期10-12,共3页Information & Computer
摘 要:电信通信网络的性能优化是提高服务质量和用户体验的关键任务,传统优化方法已难以应对大规模、复杂的网络环境。基于大数据分析的技术能够通过实时数据采集与深度挖掘,动态调整网络资源,优化流量调度,提高网络稳定性与响应速度。大数据平台与云计算提供了更加高效的存储与计算支持,为实时性能优化提供了有力保障。大数据分析为电信网络的智能化管理与优化开辟了新的路径,推动了行业的技术进步与发展。The performance optimization of telecommunication communication networks is a key task to improve service quality and user experience,and traditional optimization methods have been difficult to cope with large-scale and complex network environments.The technology based on big data analysis can dynamically adjust network resources,optimize traffic scheduling,and improve network stability and response speed through real-time data collection and deep mining.Big data platforms and cloud computing provide more efficient storage and computing support,providing a strong guarantee for real-time performance optimization.Big data analysis opens up a new path for the intelligent management and optimization of telecom networks and promotes the technological progress and development of the industry.
分 类 号:TN915[电子电信—通信与信息系统]
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