现代电子技术Issue(16)：45-48,4.
一种基于罚因子的DASH调度算法
DASH scheduling algorithm based on a penalty factor
摘要
Abstract
As the mobile network has become universal in recent years,DASH-based streaming media transmission proto-col is used more and more widely. Thus,how to guarantee the fluent video-on-demand in the mobile network circumstance with large bandwidth fluctuation and improve the quality of experience(QoE)are the major problems for DASH algorithm. In this pa-per,in order to improve the users’QoE,an evaluation on the confidence coefficient of the bandwidth prediction model is adopted in combination with the bandwidth and buffer depth. A bold adjustment of network bandwidth estimation model parame-ters under the condition of high degree of confidence. A careful adjustment of the model parameters should be conducted to pro-tect the buffer depth under the condition of low degree of confidence. This adjustment will certainly cause corresponding influence on the QoE. The influence will be taken as the "penalty factor" evaluation of feedback back to the model confidence level for dy-namic optimal solution of model parameters and better DASH scheduling algorithm.关键词
罚因子/体验度/自适应带宽估计/DASHKey words
penalty factor/quality of experience/adaptive bandwidth estimation/DASH分类
信息技术与安全科学引用本文复制引用
尤小泉..一种基于罚因子的DASH调度算法[J].现代电子技术,2014,(16):45-48,4.基金项目
四川省科技计划项目资助 （）
