基于大数据的通信带宽优化方法研究  

Research on Optimization Method of Communication Bandwidth Based on Big Data

作　　者：陈明[1] CHEN Ming(Department of Information Engineering,Sichuan Technology and Business College,Dujiangyan 611837,China)

机构地区：[1]四川工商职业技术学院信息工程系,四川都江堰611837

出　　处：《电声技术》2022年第1期117-119,共3页Audio Engineering

摘　　要：在通信带宽优化中,传统的优化方法面对高并发请求时,带宽资源分配不合理,能耗较高。针对这一问题,提出基于大数据的通信带宽优化方法设计。分析大数据环境下的通信特征,构建出与其相匹配的信道模型,根据大流量数据传输需求,优化传输任务调度方案,合理分配带宽资源,从数据包传输时间入手,优化带宽资源分配内容。设计QoS方案,针对实际业务需求和特征,制定合理的流量分配方案,完成通信带宽的优化。实验结果表明,设计的方法在高并发请求条件下,带宽资源分配合理,通信能耗低,传输时延低,整体实用性得到了提高。In the communication bandwidth optimization research, when the traditional optimization method faces high concurrent requests, the bandwidth resource allocation is unreasonable and the energy consumption is high. In response to this problem, the design of a communication bandwidth optimization method based on big data is proposed. This paper analyzes the communication characteristics in the big data environment, constructs a matching channel model, optimizes the transmission task scheduling scheme,reasonably allocates bandwidth resources, and optimizes the bandwidth resource allocation content from the packet transmission time according to the large traffic data transmission requirements. Design QoS scheme, formulate reasonable traffic allocation scheme according to the actual business requirements and characteristics, and complete the optimization of communication bandwidth.The experimental results show that the design method has reasonable bandwidth resource allocation, low communication energy consumption, low transmission delay under the condition of high concurrent requests, and the overall practicability has been improved.

关 键 词：大数据 通信网络 传输时延 

分 类 号：TN929.5[电子电信—通信与信息系统]