摘要
针对一般的流媒体传输控制算法在iOS平台的应用中表现出一定的不兼容性,根据其平台特征和一般算法的缺陷,提出一种自适应缓冲的iOS流媒体传输控制算法。首先根据当前网络状态构建流媒体数据传输预测模型,然后在加增长乘减少的流量控制算法的基础上,针对其不易于随网络状态的变化而及时修正的缺陷,结合构建的预测模型对其进行自适应缓冲优化。通过算法仿真测试表明,该改进算法比一般算法有较低的丢包率和更好的网络吞吐量。
Proposes an adaptive buffer iOS streaming media transmission control algorithm according to the characteristics of the platform and the defects of the general algorithm, which is based on the general streaming media transmission control algorithm in the application of iOS platform. Firstly,according to the current network state, constructs the prediction model of streaming media data transmission. Then, based on the flow control algorithm with the increase and decrease multiplication, the model is combined with the forecasting model, which is not easy to be corrected with the network state change adaptive buffer optimization. The simulation results show that the improved algorithm has lower packet loss rate and better network throughput than the general algorithm.
出处
《现代计算机》
2017年第7期3-7,共5页
Modern Computer
基金
江苏省大学生实践创新项目(No.201511054008Y)
苏州市教育科学"十三五"规划课题(No.16000Z089)
江苏开放大学"十二五"规划2015年度课题(No.15SEW-Q-056)
关键词
iOS平台
流媒体传输
流量控制
自适应缓冲
流量预测
iOS Platform
Streaming Media Transmission
Flow Control
Adaptive Buffer
Traffic Prediction