CAJ | 학술논문

介绍了一种基于流量预测的上行带宽动态分配算法(P-DBA).P-DBA算法根据短相关业务(SRD)和自相似、长相关业务(LRD)的流量特征建立了不同的线性预测模型,并在流量变化较快时放弃预测,以减小带宽浪费;同时,在光网络单元中提出一种配合预测机制的公平调度策略.仿真表明P-DBA算法比DBAM算法在端到端延时、丢包率等方面有明显改善.
개소료일충기우류량예측적상행대관동태분배산법(P-DBA).P-DBA산법근거단상관업무(SRD)화자상사、장상관업무(LRD)적류량특정건립료불동적선성예측모형,병재류량변화교쾌시방기예측,이감소대관낭비;동시,재광망락단원중제출일충배합예측궤제적공평조도책략.방진표명P-DBA산법비DBAM산법재단도단연시、주포솔등방면유명현개선.
P-DBA based on traffic prediction was presented,which established different linear prediction models for the Short-Range Dependence (SRD) and Song-Range Dependence (LRD) traffic and drop prediction to reduce the bandwidth waste when the variation of traffic was rapid,while Optical Network Unit (ONU) used a new local fair scheduling policy adapted to the prediction strategy. The simulation result shows that end-to-end delay,and packet loss rate has been improved obviously,compared with DBAM algorithm.