摘要
为了更深入地了解区分服务对网络QoS性能的影响,采用了能够真实反映网络流量特性的自相似业务模型进行分析,选取的模型是重尾ON-OFF叠加模型PowON-PowOFF;研究了自相似业务流在WFQ方案中对QoS参数的影响,并分析了该模型各参数对QoS性能的影响,为下一代网络采取相应机制克服突发业务的不利影响提供了依据。
Differentiated Service (DiffServ) provides a scalable solution to support the quality of service (QoS) in ever expanding Internet. To further investigate the effect of DiftServ on network QoS , this paper employs a self-similar PowON-PowOFF model, which is the superposition of some independent heavy-tailed ON-OFF processes and can describe the characteristics of the actual network throughput comprehensively. The paper studies the variation of QoS parameters using the WFQ scheme with the self-similar traffics. It also analyzes the relation between the QoS performance and the PowON-PowOFF model parameters. The results can be applied to the next generation network to overcome the adverse impacts of the burst traffic.
出处
《南京邮电大学学报(自然科学版)》
2008年第4期57-61,共5页
Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition
基金
江苏省高校青蓝工程基金(TJ207018)
南京邮电大学青蓝工程基金(NY206035)资助项目
关键词
区分服务
自相似业务
WFQ
排队时延
Differentiated service
Self-similar traffic
Weighted fair queuing
Queuing delay