摘要
面对规模庞大、结构复杂的电力通信网,针对通信调度如何根据业务需求准确、合理、高效地安排通信通道,提出了一种基于分布式图并行计算的大数据智能路由推荐方法。该方法根据电力通信网特点构建电力通信网络拓扑模型、建立优选路由指标模型,并采用基于分布式图并行计算框架实现并行路由推荐算法。实验证明,该方法具有快速迭代与收敛的特性,在大型复杂的电力通信网络路由推荐与规划中具有良好的应用前景。
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.
作者
罗云
高艳宏
张小平
罗世涛
LUO Yun;GAO Yanhong;ZHANG Xiaoping;LUO Shitao(China Comservice Enrising Information Technology co.,Ltd.Chengdu 610093,China)
出处
《通信与信息技术》
2024年第1期1-6,共6页
Communication & Information Technology
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
Big Data
Distributed graph parallel computing
Power communication network
Route recommendation
Communica⁃tion channel
作者简介
罗云(1980-),男,本科,高级工程师,从事通信网规划、运维和管理工作,Email:luoyun2003@126.com;高艳宏(1980-),男,硕士,高级工程师,从事大数据应用研究;张小平(1987-),男,硕士,工程师,从事电力通信需求咨询工作;罗世涛(1983-),男,工程师,从事电力通信需求咨询工作。
