markovian model meaning in Chinese

马尔可夫模型

When studying the network performance , flow control and resource provisioning of communication networks , traffic model plays a very important role . the recent studies show that the date network traffic is self - similar , so the markovian model , which describes telephone networks accurately , is not suitable for date networks . the self - similarity of the network traffic has severe impact on flow control and queuing analysis in date networks , therefore it has received significant attention . in this paper , g m 1 queuing model is used to analyze the queuing performance of generic variable length packet networks for the first time . the self - similar traffic is generated by multiplexing a large set of independent pareto heavy - tailed interarrival on off sources . the simulation results show that the heavy - tailed traffic results in queuing performance deterioration for variable length packet networks , which is in accordance with the analytical results for atm switches
业务量的自相似特征显著影响网络的流量控制与排队分析，已经引起人们的极大重视。采用g m 1排队模型对分组长度可变的网络的排队性能进行了分析和仿真，其中自相似业务量是通过叠加大量独立的到达间隔为pareto重尾分布的on off源来生成的。仿真结果表明，自相似业务量导致网络的排队性能劣化，这与有关文献对atm交换的分析结果一致。