基于自适应转发的大数据通信带宽时延感知拥塞控制技术

大数据通信带宽时延会导致通信拥塞故障，影响通信网络的正常运行，为此提出基于自适应转发的大数据通信带宽时延感知拥塞控制技术。根据通信网络的组成结构和通信原理，构建大数据通信网络模型。在该模型下，采集大数据通信带宽时延，通过特征提取与匹配，感知当前通信网络的拥塞状态。针对处于拥塞状态的通信信道，在考虑通信带宽的情况下，计算拥塞控制量，利用自适应转发技术调度并分配通信带宽，在差分流传输控制协议的支持下，实现大数据通信带宽时延感知拥塞控制。通过拥塞控制效果测试实验得出结论：与传统拥塞控制技术相比，在优化设计技术的控制作用下，移动通信网络的吞吐量有所增加，带宽时延降低了149.3ms，同时通信误码率降低了0.037%，即优化设计技术在拥塞控制效果方面具有明显优势。

Bandwidth Delay Aware Congestion Control Technology for Large Data Communication Based on Adaptive Forwarding

The bandwidth delay of big data communication will lead to communication congestion failure and affect the normal operation of the communication network. Therefore, the bandwidth delay sensing congestion control technology of big data communication based on adaptive forwarding is proposed. According to the composition structure and communication principle of the communication network, build a big data communication network model. In this model, the bandwidth delay of big data communication is collected, and the congestion status of the current communication network is sensed through feature extraction and matching. For the communication channel in congestion state, the congestion control volume is calculated under the condition of considering the communication bandwidth, and the communication bandwidth is scheduled and allocated by using adaptive forwarding technology. With the support of differential flow transmission control protocol, the large data communication bandwidth delay-aware congestion control is realized. Through the congestion control effect test experiment, it is concluded that compared with the traditional congestion control technology, under the control of the optimization design technology, the throughput of the mobile communication network has increased, the bandwidth delay has decreased by 149.3 ms, and the communication error rate has decreased by 0.037%, that is, the optimization design technology has obvious advantages in the congestion control effect.