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作 者:张换莉 ZHANG Huanli(Zhengzhou University of Industrial Technology,Zhengzhou 451100,China)
出 处:《通信电源技术》2024年第6期240-242,共3页Telecom Power Technology
摘 要:文章针对基于云计算的数据中心网络架构进行了深入研究与优化。首先,分析数据中心网络的特点与架构组成,包括用户层、接入层、聚合层以及核心层等。其次,针对负载均衡、流量管理以及网络拓扑优化等关键问题,提出一系列有效的优化方法。在负载均衡方面,引入动态调整和预测模型策略。在流量管理方面,采用拥塞控制和优先级调度策略。在网络拓扑优化方面,利用改进的最小生成树算法优化网络结构。最后,通过MATLAB进行仿真实验,验证所提方法的有效性,为数据中心网络的性能优化提供重要参考和支持。The article conducts in-depth research and optimization on cloud computing based data center network architecture.Firstly,the characteristics and architecture of the data center network were analyzed,including the user layer,access layer,aggregation layer,and core layer.Secondly,a series of effective optimization methods have been proposed for key issues such as load balancing,traffic management,and network topology optimization.In terms of load balancing,dynamic adjustment and predictive model strategies are introduced.In terms of traffic management,congestion control and priority scheduling strategies are adopted.In terms of network topology optimization,an improved minimum spanning tree algorithm was used to optimize the network structure.Finally,the effectiveness of the proposed method was verified through simulation experiments using MATLAB,providing important reference and support for the performance optimization of data center networks.
分 类 号:TN948.6[电子电信—信号与信息处理]
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