通信与信息技术Issue(1)：1-6,6.
基于大数据的电力通信通道智能路由推荐策略研究
Research on intelligent routing recommendation strategy for power communication channel based on Big Data
罗云 1高艳宏 1张小平 1罗世涛1
作者信息
- 1. 中通服创立信息科技有限责任公司,四川成都 610093
- 折叠
摘要
Abstract
In the face of the huge scale and complex structure of the electric power communication network,a big data intelligent routing recommendation method based on distributed graph parallel computing is proposed for how the communication scheduling can accurately,reasonably and efficiently arrange the communication channels according to the business requirements.The method con-structs an electric power communication network topology model,establishes a preferred routing index model according to the charac-teristics of electric power communication network,and adopts a distributed graph-based parallel computing framework to realize a par-allel routing recommendation algorithm.Experimentally,it is proved that the method has the characteristics of fast iteration and conver-gence,and has a good application prospect in large and complex power communication network routing recommendation and planning.关键词
大数据/分布式图并行计算/电力通信网络/路由推荐/通信通道Key words
Big Data/Distributed graph parallel computing/Power communication network/Route recommendation/Communica-tion channel分类
信息技术与安全科学引用本文复制引用
罗云,高艳宏,张小平,罗世涛..基于大数据的电力通信通道智能路由推荐策略研究[J].通信与信息技术,2024,(1):1-6,6.
