Research on Network Architecture Optimization of Data Centers Based on Cloud Computing
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.
data centernetwork architectureload balancingnetwork topology
NETL
NSTL
万方数据
