基于自相似聚合业务流量的AQM算法性能评价

现有TCP/AQM忽略了非响应业务流量对AQM算法性能的影响,但非响应业务流量约占Internet业务流量的70%～80%.因此,评价非响应业务流量对AQM算法性能的影响具有重要意义.借助于在标准GI/M/1/N排队系统中嵌入AQM算法随机丢包机制的手段,提出了一种利用"扩充的GI/M/1/N排队系统"评价AQM算法在非响应业务流量下的性能的分析方法.最后评价了TD,RED和GRED这3种经典的AQM算法,评价结果与NS-2模拟结果一致,表明该分析方法可能用于评价AQM算法在非响应业务流量下的性能.

Performance Evaluation for AQM Algorithms with Self-Similar Aggregate Traffic

The existing TCP/AQM model does not consider the impact of unresponsive flows to AQM algorithms, which contributes to about 70%~80% of the Internet flows. It is important to analysze the performance of AQM algorithms taking into account of the unresponsive flows. An extended GI/M/1/N queueing system is established by means of embedding the AQM mechanism into the standard GI/M/1/N queueing system. Based on the extended GI/M/1/N queuing system and self-similar traffic of the Internet, three classical AQM algorithms (TD, RED and GRED) are evaluated for the unresponsive flows. The analytic results are consistent with those obtained from NS2 simulations, which means the extended queueing system can be used to assess the performance of AQM algorithms with the unresponsive flows.