Research on intelligent routing recommendation strategy for power communication channel based on Big Data
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.
Big DataDistributed graph parallel computingPower communication networkRoute recommendationCommunica-tion channel
国家科技期刊平台
NSTL
万方数据
维普
