基于云计算和大数据技术的光混合网络结构

J. Sensors Pub Date : 2022-08-10 DOI:10.1155/2022/3936876
H. Wei
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引用次数: 2

摘要

为了满足光电混合网络架构的通信需求,提出了基于云计算和大数据技术的研究。本研究的主要内容是在分析云计算和大数据技术的基础上,通过对技术特点的研究,采用拓扑光链路带旁路数据结构等方法,最后通过实验和分析构建云计算和大数据技术的研究手段。实验结果表明,光链路的权重分别为60、50和20。当光链路权值变小时,节点B到达6个目的节点的路径。通过光链路可以传输更多的路径,并且可以控制附近链路的范围大小,这对于光电混合网络结构是可行的。结论:基于云计算和大数据技术的研究可以满足通信中光电混合网络结构的需求。
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Optical Hybrid Network Structure Based on Cloud Computing and Big Data Technology
In order to meet the communication requirements of photoelectric hybrid network architecture, a research based on cloud computing and big data technology is proposed. The main content of this study is based on the analysis of cloud computing and big data technology, through the study of technical characteristics, using topological optical link with bypass data structure and other methods, and finally through experiments and analysis to build the research means of cloud computing and big data technology. The experimental results show that the weights of optical links are 60, 50 and 20, respectively. When the weights of optical links become smaller, node B reaches the paths of the six destination nodes. More paths can be transmitted through optical links, and the size of the range of nearby links can be controlled, which is feasible for the photoelectric hybrid network structure. Conclusion: The research based on cloud computing and big data technology can meet the needs of photoelectric hybrid network structure in communication.
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